The study of Decision Science (DS) is concerned with mathematical methods and tools for solving problems relating to the allocation of scarce resources subject to constraints. Frequently these problems have to do with determining the least cost or greatest profit possible for a cost or profit function subject to constraints such as capacities and required amounts over a very large number of variables.
The growing trends in DS increasingly utilize applications of more than one technique and involve individuals from other disciplines. A creative thinking must look in detail at how those from disciplines outside of DS can come to work in the organizations on multi-disciplinary studies.
The field of DS is always changing. Its changes are driven by the technology it uses and that it extends, and the applications that it affects. This site presents access to the recent advances DS that is of interest to researchers and graduate students across a number of academic domains.
I always welcome information regarding any further references for inclusion. You may like to contact me by sending me an email your comments/suggestions or corrections for improvement. Thank you.
To search the site, try Edit | Find in page [Ctrl + f]. Enter a word or phrase in the dialogue box, e.g. "optimization" or "sensitivity" If the first appearance of the word/phrase is not what you are looking for, try Find Next.
- General Resources
- Interesting and Useful Sites (topical category)
- Archival Journal Articles: Authors' Index
- Journal Web Sites
- Societies & Organizations
- Books: Authors' Index
- A Collection of Financial Keywords and Phrases
- A Collection of Keywords and Phrases for Economics
- A Collection of Keywords and Phrases for Decision Making
- A Compendium of External Web Sites Review
- A Searchable List of All My Web Sites
- My Online Books’ Reviews
Archival Journal Articles: Authors' Index
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Abstract of the papers may be found at: MATH
A Basic Scientific Calculator
Academic Press Journals Tables of Contents
Agent-Based Computational Economics (ACE)
Alta Mathematica: The Collector's Books of Mathematics (by Udai Venedem)
Applied Management Science
Artificial-Free Solution Algorithms for LP Models
Bibliographies (at Florida State University)
Bibliographies on Mathematics
Bibliography of ACM SIGNUM
Ciencia de la Administración / Investigación Operacional
Combinatorial People and Groups
Compgeom at the Bell-Labs
Complementarity Problem Net: Algorithms and Applications
Computational Geometry (CGAL package)
Computing Science Journals
Conferences |I |II |III |Conferences-Euresco|
Counterexamples and Explanations for LP Myths
CSPLib: A Problem Library for Constraints
Decision Support Systems Rresources
Directory of Publications: Mathematics
Dynamical Systems Group
Earliest Known Uses of Some of the Words of Mathematics (by Jeff Miller)
Earliest Uses of Various Mathematical Symbols (by Jeff Miller)
European Chapter on Combinatorial Optimization
Excel For Statistical Analysis
Geometric Algorithms for Industrial Applications
Geometry in Action (by David Eppstein)
Global Optimization (by Gennady Ryzhikov)
Graph Theory (by Stephen Locke)
Graph Theory and Its Applications (by J. Gross and J. Yellen)
Graph Theory Glossary (by Chris Caldwell)
Graph Theory Lessons (by Christopher Mawata)
Graphviz: Graph drawing software
Heuristics and artificial intelligence in finance and investment
High School Operations Research
Index to Math Subject Classification
Interesting Sites (by Henry Wolkowicz)
Interval Computations (by Vladik Kreinovich)
Journals Publishers Links
K-Best Problems: Bibliography (by David Eppstein)
Linear Optimization Solvers to Download (free-of-charge)
Linear Programming Software Survey
From Linear to Nonlinear Optimization: The Missing Chapter
Location Analysis (Algorithms)
Locational Analysis (Europe)
Mathematical Atlas: A Gateway to Modern Mathematics (by Dave Rusin)
Mathematical Journals List-I
Mathematical Journals List-II
Mathematical Programming Glossary (by Harvey Greenberg )
Mathematical Statistics & Operational Research
Mathematics Animated (by Lou Talman)
Mathematics Information Server
Mathematics Preprints (Chalmers University of Technology)
Mathematics Web Sites Around the World
Maths, Stats & OR Network
Memetic Algorithms' Home Page
Modeling and Simulation
Modelos deterministas: Programación Lineal
Modelos probabilísticos: del análisis de la decisión
Multicriteria Aid for Decisions
National Academic Mailing List Service
Network Flows Resources
Networked Computer Science Technical Reference Library
Networks and Integer Optimization
New Journals in Mathematics
Newton's Method for Nonlinear Equations
NICON: the Numerics In Control Network Nonlinear Programming Software Survey
Operations Research: Optimization)
Operations Research on the Web (by Jürgen Antes)
Optimization and Operations Research (by Kaisa Miettinen)
Optimization Links (by Rob Womersley)
Optimization Modeling Process: Linear Programming
Other Bibliographies on Mathematics
Planning and Scheduling
Probabilistic Modeling Process: Decision Analysis
Programación Estocastica (by Ramon Sala-Garrido)
Publishers (search)|Publishers and Journals| Publishers-Archive|Publishers' Catalogues|Publishers-Math|
Sensitivity analysis (index)
Software and Theory (by Henry Wolkowicz)
Stochastic Integer Programming Bibliography
Stochastic Programming Bibliography
Stochastic Programming Community
Subject Area Pages
Time Series Analysis and Forecasting Techniques
Tools for Modeling Validation in Linear Programming
Towards the Simplex Method
Two-Person Zero-Sum Games with Applications to Portfolio Selections
Virtual Polyhedra (by George Hart)
Watt: Working group on Automated TimeTabling (by Graham Kendall)
World of Mathematics (by Eric Weisstein)
WORMS Topics Directory
Zero Saga & Confusions with Numbers
Interesting and Useful Sites
Strategic Decision-Making Resources
Applied OR/MS/DS Journals
Modeling (i.e., a consecutive-purposeful strategic thinking )
Applied Mathematical Modeling
General OR/MS/DS Site
Production, Operations, Inventory, and Quality Control
OR/MS/DS and other Disciplines
Other Related Societies/Organizations
OR/MS/DS Around the World
Linear Algebra & Analytic Geometry
Networks, Graph, and Computational Geometry
Probability and Statistics for OR/MS
Time Series Analysis and Forecasting
Software and Codes
Simulation and OR/MS
Strategic Decision-Making Resources
|News and Analysis for the Strategic Decision Maker | Decision Analysis and System Dynamics Resources |TQM And Organizational Change And Development
|US and Foreign Business Schools |OR People and Research Groups | Management Resources | AI People | AMS | Subject Area Pages | OpsResearch|
Applied OR/MS/DS Journals
| OR/MS/DS Today | Publications | INFORMS Journals Articles | Journals
Modeling (i.e., a structured consecutive, well-focused, strategic thinking)
| Advice on Research and Writing | Zero Saga | Educational Hotlists | Model Management | Mathematical Modeling-I | Business Cases|
| Conferences Worldwide | Meeting | Mathematics Calendar | Conferences and Meetings | List of Conferences | OR-Net Home Page | News in OR/MS|
General OR/MS/DS Site
| OR/CS Discussion List | Management Science for Consultants | What is OR/MS/DS? | OR Surf | Sci.Op-Research|
| Brian Digest | Grossman's Page | Trick's Page | Deterministic OR Models |High School Operations Research | Network Resources on OR | Statistics and OR Resources | Operations Research Surf | Interactive Math | JavaORjavA | Other OR Sites|
|Linear Algebra Matrix Calculators | Linear Algebra Archive |Linear Algebra |Linear Algebra |Matrix calculator | 3 by 3 linear system of equations solver Systems of Linear Equations and Matrices|
|The LP Grapher | Pivot Tool |Simplex Pivot Tool |Network-Simplex | Linear Program | LP Summary | CPLEX |LINDO: Windows version|
|Decision Sciences Institute | Decision Analysis and Risk |Environmental Decision-making | Decision Making | Decision/Risk Analysis | Decision Analysis Society | Decision Analysis Links | Decision Analysis References | Decision Support Systems Rresources|
Networks, Graph, and Computational Geometry
|Graph Theory Glossary | Graph Theory Tutorials | Graph Theory Lessons | Netsolve | Polymake College Mathematics Journal Index | Mathematics Information Servers | Mathematics Archive | Mathematics and Computing|
OR/MS/DS Around the World
|American OR/MS/DS society |Australian Society for OR |British OR Society |Canadian OR |Danish OR Society |French OR Society |German OR Society |Hungarian OR |Italy OR Society |New Zealand OR Society | Nordic OR Society |Portuguese OR Society |Singapore OR Society |South African OR Society|
INFORMS USA: |The Main Site| AI| Bookstore| Education and Student Affairs| Journals Articles| Manuf. & Service Oper. Manag.| Marketing| Marketing People| Member Directory| Members' WePages| Military OR| Speakers Student Union|
|Decision Sciences Institute | Management Science Societies |W(orld of)ORMS|
| MIT | Florence | Florida |Rutgers Center |Michigan | Victoria
Other Related Societies/Organizations
Associations and Societies Mathematical Societies | The Mathematical Association of America |Brunswik Society |Society of Judgment and Decision Making |Decision Analysis Society | SIAM | OR Research Institute | OR/MS/DS Student Union | INFORMS Computer Science |ACM Home Page |SIAM NewsGroups | Mathematical Programming Society |Bayesian |SIAM on Optimization |RAND Organization | Other Societies |UK Systems Society|
|Bibliography for Optimization with Sensitivity Analysis |Transport and Scheduling | Linearly Constrained Global Optimization Problems |Dash Optimization |Convex Hull in Plane |Optimization |Frontline Systems: Spreadsheet's Solver |Spreadsheet Optimization |Genetic-based Algorithms | Genetic Algorithms and Genetic Programming | Optimization Link | Optimization Techniques|
Software and Codes
|Simulation Software Survey |Linear Programming |Forecasting Software Survey |Decision Analysis Software Survey |Nonlinear Programming Software Survey |Statistical Analysis Software Survey | Software Surveys |OR Excel Interactive| | Software Surveys |OR Excel Interactive | Optimization Software| Benchmarks for Optimization Software|
Probability and Statistics for OR/MS
|A Basic Scientific Calculator |Chi-square Test for Crosstable Relationship |Goodness-of-Fit Test for Discrete Random Variables |Online statistical computation | Mean, Standard Deviation, & Coefficient of Variation |Multinomial Distributions: Expected Value, Variance, Standard Deviation, & Coefficient of Variation |MultiVariate Statistics: Mean, Variance, & Covariance |Test for Homogeneity |Test for Normality |Testing the Mean| Testing the Variation| Test for Randomness | Bayes' Revised Probability Applet | Probability |Let's Make a Deal Game | Business Statistics | Interactive Statistical Calculation |Topics in Statistical Data Analysis | Forecasting Principles | Bibliography for Computational Probability and Statistics | Introduction to Statistics| | Interactive Statistics|
Simulation and OR/MS
| Systems Simulation | Bibliography for Discrete Event Systems Simulation: Optimization and Sensitivity Analysis | Markov System Simulation|
| Game Theory Simulation on Line | Game Theory Summary | Game Theory, Linear/Non-Linear Programming|
OR/MS/DS and other Disciplines
| Service Operations Management | Sensitivity Analysis | Institute of Industrial Engineering | Marketing | Industrial Engineering and OR | LOLA: Library of Location Algorithms | Finance Working Papers|
Production, Operations, Inventory, and Quality Control
| Inventory Control Related Sites | American Productivity and Quality Center | American Production and Inventory Control Society | Activity Based Costing |Inventory | Manufacturing Strategy | Manufacturing and Service Operations Management | Outsourcing
Applied Mathematical Modeling
| Plus Magazine | Applied Mathematics | Eric's Treasure Trove of Mathematics | Virtual Library: Mathematics | Industrial Mathematics | Mathematics Archives | Graduate Level Math Resources | PASS Maths | Real Analysis Interactive | Performance Evaluation|
Time Series Analysis and Forecasting
| Time Series and Forecasting | Time Series Analysis and Forecasting Techniques | Forecasting Principles|
Societies & Organizations
National OR/MS Societies:
American OR/MS society
Australian Society for OR
British OR Society
Canadian OR Society
Danish OR Society
Dutch OR Society
German OR Society
Italy OR Society
New Zealand OR Society
Nordic OR Society
Portuguese OR Society
Singapore OR Society
South African OR Society
ACM: Association for Computing Machinery
ACM: SIGACT News
American Institute of Chemical Engineers
American Mathematical Society
Center for Advanced Modeling and Optimization
Centre for Decision Research
Chance-Constrained & Stochastic Programming
Community of Science
Decision Sciences Institute (DSI)
European Working Group on Multicriteria Decision Aid
IBM Research Library
IIE Institute of Industrial Engineers
INFORMS Annual Comprehensive Index
INFORMS Journals Full Abstracts
INFORMS Research Paper Archive
Institute of Electrical and Electronic Engineers
International Association of Science and Technology for Development
International Society of Dynamic Games
International Society on Multiple Criteria Decision Making
Kluwer Journals Tables of Contents
London Mathematical Society
Management Science Societies
Mathematical Association of America
Mathematical Programming Society
New York Academy of Sciences
Performance Measurement Association
Production and Operations Management Society
RAND: Major Areas of Research
Red Iberoamericana de Evaluación y Decisión Multicriterio (R.E.D.-M)
SIAM Activity Group on Discrete Mathematics
SIAM Activity Group on Optimization
SIAM Journals Online
SIAM News Calendar
Society for Information Management
US OR/MS INFORMS
Algorithmic Operations Research
Annals of Combinatorics
Applied Mathematical Modelling
Applied Mathematics and Computation
Applied Mathematics and Optimization
Asia-Pacific Journal of Operational Research
Australasian Journal of Combinatorics
BIT Numerical Mathematics
Central European Journal of Operations Research
Civil Engineering and Environmental Systems
Computational & Mathematical Organization Theory
Computational Geometry: Theory and Applications
Computational Management Science
Computational Optimization and Applications
Computer Physics Communications
Computers and Industrial Engineering
Computers and Mathematics with Applications
Computers and Operations Research
Decision Sciences Journal
Decicions in Economics and Finance
Discrete Applied Mathematics
Discrete & Computational Geometry
Discrete Mathematics and Allied Topics
Discrete Mathematics & Theoretical Computer Science
Electronic Journal of Combinatorics
European Journal of Operational Research
4OR: Journal of the Belgian, French, and Italian OR Societies
Information Processing Letters
INFORMS Journal on Computing
Intelligent Systems in Accounting Finance and Management
Interactive Transactions of Operations Research
International Abstracts in Operations Research
International Game Theory Review
International Journal of Applied Mathematics
International Journal of Differential Equations and Application
International Journal of Foundations of Computer Science
International Journal of Game Theory
International Journal of Information Technology Decision Making
International Journal of Modelling and Algorithms, Formerly, International Journal of Mathematical Algorithms
International Journal of Mathematical Education in Science and Technology
International Journal of Production Economics
International Journal of Pure and Applied Mathematics
International Journal of Statistics and Systems
International Mathematical Journal
International Transactions in Operational Research
Journal of Algorithms
Journal of Combinatorial Optimization
Journal of Discrete Mathematical Sciences & Cryptography
Journal of Dynamical and Control Systems
Journal of Experimental Algorithmics
Journal of Global Optimization
Journal of Graph Algorithms and Applications
Journal of Heuristics
The Journal of Industrial Economics
Journal of Information & Optimization Sciences
Journal of Interdisciplinary Mathematics
Journal of Mathematical Analysis and Applications
Journal of Mathematical Economics
Journal of Nonlinear Science
Journal of Risk Finance
Journal of Scientific Computing
Journal of the Operational Research Society
Journal of Optimization Theory and Applications
Journal of Process Control
Journal of Revenue & Pricing Management
Journal of Scheduling
Journal of Scientific Computing
Linear Algebra and Its Applications
LMS Journal of Computation and Mathematics
Manufacturing & Service Operations Management
Mathematical and Computer Modelling
Mathematical Methods of Operations Research
Mathematical Models and Methods in Applied Sciences
Mathematical Research Letters
Mathematical Social Sciences
Mathematics and Computers in Simulation
Mathematics of Operations Research
Naval Research Logistics
Numerical Linear Algebra with Applications
OMEGA: The International Journal of Management Science
Operations Research Letters
Opsearch: Journal of the Operational Research Society of India
Optimization: A Journal of Mathematical Programming and Operations Research
Optimization and Engineering
Optimization Methods and Software
Project Management Journal
Scientific Journal of Administrative Development
Séminaire Lotharingien de Combinatoire
SIAM Journal on Computing
SIAM Journal on Control and Optimization
SIAM Journal on Discrete Mathematics
SIAM Journal on Optimization
Software and System Modeling
Systems & Control Letters
Theory of Computing Systems
Transactions in Operational Research
Transportation Research Part B: Methodological
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Ackoff R., Re-creating the Corporation: A Design of Organizations for the 21st Century, Oxford University Press, 1999.
Ackoff R., Ackoff's Best: His Classic Writings on Management, Wiley, 1999.
Ackoff R., The Art of Problem Solving: Accompanied by Ackoff's Fables, Wiley, 1978.
Ackoff R., and M. Sasieni, Fundamentals of Operations Research, Wiley, 1968.
Ackoff R., Management in Small Doses, Wiley, 1986.
Ackoff R., and P. Rivett, A Manager's Guide to Operations Research, Wiley, 1963.
Ahuja R., T. Magnanti, and J. Orlin, Network Flows: Theory, Algorithms and Applications, Prentice Hall, 1993.
Albright, Quantitative Methods for Managers, Wadsworth Publishing Co., 1999.
Allais M., and O. Hagen, Cardinalism: A Fundamental Approach, Kluwer Academic Publishers, 1994.
Allen M., I. Herrera, and G. Pinder, Numerical Modeling in Science and Engineering, Wiley, 1988.
Allison, La Esencia De La Decision, Galerna.
Anderson D., D. Sweeney, and T. Williams, An Introduction to Management Science: Quantitative Approaches to Decision Making, Eighth Edition, West Publishing, 2000.
Anderson D., D. Sweeney, and T. Williams, Contemporary Management Science: With Spreadsheets, Southwestern, 1998.
Arce, Presupuestos Costos Y Decisiones De Empresas Agrop, Macchi Ediciones.
Archer M., et al. (Eds.), Critical Realism: Essential Readings, Routledge, 2000.
Archetti F., Lucertini M., and P. Serafini, Operations Research Models in Flexible Manufacturing Systems, Springer Verlag, 1989.
Aris R., Mathematical Modelling Techniques, Dover Pubns., 1995.
Arlinghaus S., W. Arlinghaus, and F. Harary, Graph Theory and Geography: An Interactive View, Oxford University Press, 2001.
Armstrong J., (Ed.), Principles of Forecasting: A Handbook for Researchers and Practitioners, Kluwer Academic Pub, 2000.
Armstrong S., Engineering and Product Development Management: The Holistic Approach, Cambridge University Press, 2001. It takes the six bodies of knowledge and integrates them into a holistic approach: integrated product development, project management, process management, systems engineering, product data management, and organizational change management.
Arnold J., and A. Hope, Accounting for Management Decisions, Prentice-Hall, 1996.
Aronson J., and and S. Zionts (edits), Operations Research: Methods, Models, and Applications, Quorum Books, 1998.
Arrow K., Social Choice and Individual Values, Wiley, 1963.
Arrow K. and H. Rynaud, Social Choice and Multicriterion Decision-Making, MIT Press, 1986.
Arutyunov A., Optimality Conditions: Abnormal and Degenerate Problems, Kluwer Academic Publishers, 2000.
Ashton R., and A. Ashton, Judgment and Decision-Making Research in Accounting and Auditing, Cambridge Univ Pr., 1995. Important factors such as the pricing of products and services, evaluating corporate performance, granting credit to prospective borrowers, and investing in financial securities are considered.
Asmussen S., Ruin Probabilities, World Scientific Press, 2000.
Attaran M., and R. Markland, Topics in Management Science, John Wiley & Sons, 1993.
Aumann R., and S. Hart, (eds.), Handbook of Game Theory with Economic Applications, In 3 volumes, Elsevier Science, 2002.
Aurifeille J-M., and Ch. Deissenberg, Bio-Mimetic Approaches in Management Science, Kluwer Academic Publishers, 1998.
Avriel, M., Nonlinear Programming: Analysis and Methods, Prentice-Hall, 1976.
Badaracco, Jr., J., Defining Moments: When Managers Must Choose Right and Right, Harvard Business School Press, 1997.
Bagchi A., Optimal Control of Stochastic Systems, Prentice Hall, 1993.
Bagur, Modelos De Decision, Club De Estudio.
Bailey M., Studies in Positive and Normative Economics, Edward Elgar Pub., 1992.
Baird B., Managerial Decisions Under Uncertainty: An Introduction to the Analysis of Decision Making, Wiley, 1989.
Balachandran S., Decision Making: An Information Sourcebook, Oryx Press, 1987.
Ballestero E., and C. Romero, Multiple Criteria Decision Making and its Applications to Economic Problems, Kluwer Academic Publishers, 1998.
Baron J., Thinking and Deciding, Cambridge University Press, 1994. Discusses the psychology of thinking and deciding, covering philosophical, mathematical, and empirical aspects of decision making.
Barr R. and J. Kennington, Interfaces in Computer Science and Operations Research: Advances in Metaheuristics, Optimization, and Stochastic Modeling Technologies, Kluwer Academic Pub., 1997.
Barros A. Discrete and Fractional Programming Techniques for Location Models, Kluwer Academic Publishers, 1998.
Basmadjian D., The Art of Modeling in Science and Engineering, Chapman & Hall/CRC, 1999.
Baumeister R., Escaping the self: Alcoholism, Spirituality, Masochism, and Other Flights From the Burden of Selfhood, New York, Basic Books, 1991.
Bazaraa M., J. Jarvis, and H. Sherali, Linear Programming and Network Flow, Wiley, 1990.
Bazaraa M., H. Sherali, and C. Shetty, Nonlinear Programming: Theory and Algorithms, Wiley, 1993.
Bazerman M., Judgment in Managerial Decision Making, John Wiley, 1998.
Beale E., and L. MacKley, Introduction to Optimization, Wiley, 1988.
Beauchamp T., Case Studies in Business, Society, and Ethics, Prentice-Hall, 1993.
Bedford T. and R., Cooke, Probabilistic Risk Analysis: Foundations and Methods, Cambridge University Press, 2001.
Belegundu A., and T. Chandrupatla, Optimization Concepts and Applications in Engineering, Prentice Hall, 1999.
Bell D., H. Raiffa, and A. Tversky, (Ed.), Decision Making: Descriptive, Normative, and Prescriptive Interactions, Cambridge University Press, 1988.
Bell P., Management Science/Operations Research: A Strategic Perspective, South-Western College Publishing, 1999. All the good case studies.
Beltrami E, Mathematics for Dynamic Modeling, Academic Press., 1987.
Beltrami E., Mathematical Models in the Social and Biological Sciences, Jones and Bartlett Publishers, Boston, 1993.
Bender E., An Introduction to Mathematical Modeling, Dover Pubns, 2000.
Bender F., G. Kahan, and W. Mylander, Optimization for Profit: A Decision Maker's Guide to Linear Programming, Haworth Press, 1992.
Ben-Haim Y., Information-gap Decision Theory: Decisions Under Severe Uncertainty, Academic Press, 2001.
Benninga S., and B. Czaczkes, Financial Modeling, MIT Press, 2000, Covers computation of corporate finance problems, portfolio, option pricing, duration and immunization, cost of capital, value at risk, and real options, all in terms of structural modeling.
Berge C., Hypergraphs, Elsevier, 1989.
Berne E., Games People Play: The Psychology of Human Relationships, Reissue edition, Ballantine Books, 1996.
Bernstein P., The Power of Gold: The History of an Obsession, Wiley & Sons, 2000. Presents the history of how some people obsessed, haunted by wealth. Gold had them, rather than the other way around.
Beroggi G., Decision Modeling in Policy Management: An Introduction to the Analytic Concepts, Boston, Kluwer Academic Publishers, 1999.
Bertsekas D., Dynamic Programming and Optimal Control, Athena Scientific, 2000.
Bertsekas D., Network Optimization: Continuous and Discrete Models, Athena Scientific, 1998.
Bertsekas D., Dynamic programming: Deterministic and Stochastic Models, Prentice-Hall, 1987.
Bertsekas D., Constrained Optimization and Lagrange Multiplier Methods, Athena Scientific, 1996.
Bertsekas D., Nonlinear programming, Athena Scientific, 1995.
Bertsekas D., Linear Network Optimization: Algorithms and Codes, MIT Press, 1991.
Bertsekas D., and Gallager, R., Data Networks, Prentice Hall Inc., Englewood Cliffs, NJ., 1992.
Bertsimas D., Quantitative Methods: Data, Models & Decision, South-Western Publishing Co., 1999.
Bertsimas D., and J. Tsitsiklis, Introduction to Linear Optimization, Athena Scientific, 1997.
Beth T., Design Theory, Vol. 1 & 2, Cambridge University Press, 1999. Good for advanced courses and as a reference work on discrete mathematics and finite algebra with applications to computer and communications engineering and other applied mathematics areas.
Bhatti M., Practical Optimization Methods with Mathematical Applications, TELOS/Springer-Verlag, 2000.
Bierman, Analisis Cuantitativo Para Toma Decisiones, Irwin.
Biran A., Matlab 5.0 for Engineers, Addison-Wesley, 1999
Birge J., and F. Louveaux, Introduction to Stochastic Programming, Springer Verlag, 1997.
Biswas T., Decision Making Under Uncertainty, St. Martin's Press, 1997.
Blanchard B, and W. Fabrycky, Systems Engineering and Analysis, Prentice Hall, 1998
Bodily S., Modern Decision Making: A Guide to Modeling with Decision Support Systems, McGraw-Hill, 1985.
Boldy D., (Ed.), Operational Research Applied to Health Services, St. Martin's Press, New York, 1981
Bomze I., T. Csendes, R. Horst, and P. Pardalos, (eds.), Developments in Global Optimization, Kluwer Academic Publishers, Boston, 1996.
Bond T., and Ch. Fox, Applying the Rasch Model: Fundamental Measurement in the Human Sciences, Lawrence Erlbaum Associates, Inc., 2001.
Bondy J, and U. Murty, Graph Theory with Applications, Macmillan, London, 1976.
Boot J., Quadratic Programming: Algorithms: Anomalies and Applications, North-Holland Publ., 1964.
Borden T., and W. Banta, (Ed.), Using Performance Indicators to Guide Strategic Decision Making, Jossey-Bass Pub., 1994.
Borm P., (Ed.), Chapters in Game Theory, Kluwer, 2002.
Borwein J., and A. Lewis, Convex Analysis and Nonlinear Optimization, Springer, New York, 2000.
Bouchaud J-P., and M. Potters, Theory of Financial Risks: From Statistical Physics to Risk Management, Cambridge University Press, 2000.
Bouyssou D., Th. Marchant, M. Pirlot, P. Perny, A. Tsoukias, and Ph. Vincke, Evaluation and Decision Models: A Critical Perspective, Kluwer, 2001.
Brady J., and E. Monk, Concepts in Enterprise Resource Planning, Course Technology, 2001. Increased productivity by bringing a company's many different systems together into one large integrated system.
Brauer F., and C. Castillo-Chávez, Mathematical Models in Population Biology and Epidemiology, Springer, N.Y., 2001.
Brinson R., and G. Naadimuthu, Schaum's Outline of Operations Research, McGraw-Hill, 1997.
Brousse P., Optimization in Mechanics: Problems and Methods, North Holland Publishing, 1988.
Brown D, Ch. White, (eds.), Operations Research and Artificial Intelligence: The Integration of Problem-solving Strategies, Kluwer Academic Publishers, 1990.
Browne M., and S. Keeley, Asking the Right Questions: A Guide to Critical Thinking, Prentice Hall, 2000.
Brown Sh., and K. Eisenhardt, Competing on the Edge: Strategy As Structured Chaos, Harvard Business School Press, 1998.
Browne N., and S. Keeley, Asking the Right Questions: A Guide to Critical Thinking, Prentice Hall, 2000.
Bryson A., Dynamic Optimization, Addison Wesley Pub Co, 1998. It comes with a CD containing Matlab implementations for many methods, both for discrete and continuos optimal control.
Buchanan J., Discrete and Dynamic Decision Analysis, Wiley, 1982.
Buckangham M., and C. Coffman, First, Break All the Rules: What the World's Greatest Managers Do Differently, Simon & Schuster Trade, 1999.
Buckley J., and T. Feuring, Fuzzy and Neural: Interactions and Applications, Springer Verlag, Heidelberg, 1999.
Bunday B., Introduction to Queueing Theory, Arnold, 1996.
Bunn D., Applied decision analysis, McGraw-Hill, 1984.
Burgelman R., Maidique M., and S. Wheelwright, Strategic Management of Technology and Innovation, McGraw-Hill, 2000.
Burghes D., and A. Wood, Mathematical Models in the Social, Management, and Life Sciences, Halsted Press, UK., 1980.
Bushev M., Synergetics: Chaos, Order, Self-Organization, London, World Scientific, 1994.
Buskrirk R., Modern Management & Machiavelli, New American Library, 1974.
Butnariu D., Y. Censor, and S. Reich (eds.), Inherently Parallel Algorithms in Feasibility and Optimization and their Applications, Elsevier Science, 2001. Applications to optimization over linear inequalities is given.
Cairoli R., Sequential Stochastic Optimization, Wiley, 1995.
Callicott B., and R. Ames, Nature in Asian Traditions of Thought: Essays in Environmental Philosophy, State University of New York Press, 1998.
Camm J., and J. Evans, Management Science: Modeling, Analysis, and Interpretation, South-Western College Pub., 1999.
Camm J., and J., Evans, Management Science & Decision Technology, Thomson Learning Co., 2000.
Carraro C., and A. Haurie (eds.), Operations Research and Environmental Management, Kluwer Academic Publishers, 1996.
Carroll B., The Biases of Management, Routledge, 1993.
Carlson R., Design and Optimization in Organic Synthesis, Elsevier Science, 1992.
Carter M., and C. Price, Operations Research: A Practical Introduction, CRC Press, 2001. Covers the usual topics such as cover: Linear Programming, Network Analysis, Integer Programming, Nonlinear Optimization, Markov Processes, Queuing Models, Simulation, Decision Analysis and Heuristic Techniques.
Casti J., Reality Rules: Picturing the World in Mathematics, Wiley, 1992.
Castaneda C., The Active Side of Infinity, Harperperennial Library, 2000.
Casti J., and A. Karlqvist, (eds.), Beyound Belief: Randomness, Prediction and Explanation in Science, CRC Press, 1991.
Castro E., Analisis De Problemas Y Toma De Decisiones, Longman, Mexico, 1999.
Cea J., Optimization Techniques, Springer-Verlag, 1976.
Cela E., The Quadratic Assignment Problem: Theory and Algorithms, Kluwer Academic Publishing, 1998.
Censor Y., and S. Zenios, Parallel Optimization: Theory, Algorithms, and Applications, Oxford University Press, 1997.
Ciriani T., et al., (eds), Operations Research in Space and Air, Kluwer Academic Publishers, 2003.
Chacko G., Operations Research/Management Science: Case Studies in Decision Making Under Structured Uncertainty, McGraw-Hill,1993.
Chalmers D., The Conscious Mind: In Search of a Fundamental Theory, Oxford University Press, 1996.
Chandru and Hooker, Optimization Methods for Logical Inference, Wiley, 1999.
Chang Y-L., QSB for Windows, Wiley, 1997
Chapman G., and F. Sonnenberg (eds.), Chapman Y., and F. Sonnenberg (Eds.), Decision Making in Health Care: Theory, Psychology and Applications, Cambridge University Press, 2000. Health policy makers and health insurers have to decide what to promote, what to discourage, and what to pay for.
Charnes A., Cooper W., Lewin A., and L. Seiford, Data Envelopment Analysis: Theory, Methodology and Applications, Kluwer Academic Publications, 1994.
Chase R., N. Aquilano, and F. Jacobs, Production and Operations Management: Manufacturing and Services, Irwin, 1998.
Chatterjee S., and Hadi A., Sensitivity Analysis in Linear Regression, Wiley, New York, 1988.
Chatterjee K., and W. Samuelson, (Eds.), Game Theory and Business Applications, Kluwer Academic Publishers, 2001.
Checkland P., Systems Thinking, Systems Practice: Includes a 30-Year Retrospective, Wiley, 1999.
Chomsky N., On Language, New Press, 1998.
Chen H.-F., Stochastic Approximation and Its Application, Kluwer Academic Publishers, 2002. It covers global optimization, blind channel identification, adaptive filtering, system parameter identification, adaptive stabilization and other problems arising from engineering fields.
Chong E., and S. Zak, An Introduction to Optimization, Wiley, 1995.
Christensen, C., The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail, 1997, Harvard Business School Publishing.
Churchman C., The Design of Inquiring Systems, Basic Books, New York, 1971. Early in the book he stated that knowledge can be considered as a collection of information, or as an activity, or as a potential. He also noted that knowledge resides in the user and not in the collection.
Chvatal, V., Linear Programming, W. H. Freeman and Company, New York (1983).
Ciarlet Ph., Introduction to Numerical Linear Algebra and Optimisation, Cambridge University Press, 1995
Clarke F., Optimization and Nonsmooth Analysis, John Wiley & Sons, 1983.
Clauss F., Applied Management Science and Spreadsheet Modeling, Duxbury, 1996.
Clemen R., Making Hard Decisions: An Introduction to Decision Analysis, Wadsworth, 1996. It covers most aspects of decision analysis with many practical examples.
Coelli T., Prasada Rao and G. Battese, An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publishers, 1997.
Cohen, Sist Informacion P/toma Decisiones, McGraw-Hill.
Coleman T., Large Sparse Numerical Optimization, Springer Verlag, 1984.
Coleman T., and Y. Li, (Editors), Large-Scale Numerical Optimization, SIAM, 1990.
Connolly T., H. Arkes, and K. Hammond (eds), Judgment and Decision Making: An Interdisciplinary Reader, Cambridge University Press, 2000.
Cooke R., Experts in Uncertainty, Oxford Univ Press, 1991.
Cooper L., Applied Nonlinear Programming for Engineers and Scientists, Englewood, N.J., Aloray, 1974.
Cooper L., Bhat U., and LeBlanc L., Introduction to Operations Research, Philadelphia, Saunders, 1977.
Cooper L., and D. Steinberg, Introduction to Methods of Optimization, Philadelphia, Saunders, 1970.
Cooper W., L. Seiford, and K. Tone, Data Envelopment Analysis, Kluwer, 1999. A comprehensive text with models, applications, references and DEA-solver software.
Corfield D., and J. Williamson, Foundations of Bayesianism, Kluwer Academic Publishers, 2001. Contains Logic, Mathematics, Decision Theory, and Criticisms of Bayesianism.
Corne D., M. Dorigo, and F. Glover, (Eds.), New Ideas in Optimization, London, McGraw-Hill, 1999.
Cornuejols G., Combinatorial Optimization: Packing and Covering, SIAM, 2001.
Cossin D., and H. Pirotte, Advanced Credit Risk Analysis: Financial Approaches and Mathematical Models to Assess, Price, and Manage Credit Risk, Wiley, 2001.
Covey S., The 7 Habits of Highly Effective People, Running Press, 2000.
Coyle G., System Dynamics Modelling: A Practical Approach, CRC Press, 1996.
Crainer S., The 75 Management Decisions Ever Made and 21 of the Worst, American Management Association, New York, 1999.
Crainic T., and G. Laporte, Fleet Management & Logistics, Kluwer Academic Publishers, 1998.
Crouhy M., R. Mark, and D. Galai, Risk Management, McGraw-Hill, 2001.
Cumberbatch E., and A. Alistair (eds), Mathematical Modeling: Case Studies From Industry, Cambridge University Press, 2001.
Cruz J., System Sensitivity Analysis, Dowden, Hutchinson & Ross Pub., 1988.
Daellenbach H., Systems and Decision Making: A Management Science, Wiley, 1994.
Daft R., Organization Theory and Design, South-Western Pub., 2000. Provides concepts and dynamic models.
Dahleh, Munther A.; Bobillo, Ignacio J.Diaz, Control of Uncertain Systems: A Linear Programming Approach, 1994, Prentice-Hall, London.
Dantzig, Linear Programming and Extensions, Princeton University Press, 1963, 1998.
Dantzig G., and B. Eaves, Eds., Studies in Optimization, The Mathematical Association of America, 1974.
Dantzig G., and M. Thapa, Linear Programming, Springer, 1997.
Dantzig J. and Ch. Tucker, Modeling in Materials Processing, Cambridge University Press, 2001.
Darst R., Introduction to Linear Programming: Applications and Extensions, Dekker, 1991.
Dasgupta P., and D. Pearce, Cost-benefit Analysis: Theory and Practice, Macmillan, 1972.
Daskin M., Network and Discrete Location: Models, Algorithms, and Applications, Wiley, 1995.
Dauer F., Critical Thinking: An Introduction to Reasoning, Oxford University Press, 1989.
Davis D., Business Research for Decision Making, Duxbury Press, 1996.
Davis M., The Art of Decision-Making, Springer-Verlag, 1986.
Davis R., Business Process Modelling with ARIS: A Practical Guide, Springer, London, 2001.
Davis W., Investifacion En Administracion Para La Toma De Decision, Thomson Internationa.
Dawes R., and J. Kagan, Rational Choice in an Uncertain World, Harcourt Brace College, 1991. A book for general readers discussing human judgment under uncertainty. It has also historical documents that Benjamin Franklin based all his important decisions using the Pros-and-Cons methodology.
Dawson R., The Confident Decision Maker: How to Make the Right Business and Personal Decisions Every Time, Morrow William & Co., 1995.
Deal T., and A. Kennedy, The New Corporate Cultures, Perseus Books, 1999. Contains a very interesting explanation of the reasons behind mergers.
De Cogan D. and A. De Cogan, Applied Numerical Modelling for Engineers, Oxford University Press, 1997.
De La Boétie E., The Politics of Obedience: The Discourse of Voluntary Servitude, Harry Kurz (Translator), Black Rose Books Ltd., 1998.
Del Sol, Evaluacion De Decisiones Estrateficas, McGraw-Hill.
DeLurgio S. Sr., Forecasting Principles and Applications, Irwin/McGraw-Hill, 1998.
Demeulemeester E., and W. Herroelen, Project Scheduling: A Research Handbook, Kluwer Academic Publishers, 2002.
Dempe S., Foundations of Bilevel Programming, Kluwer Academic Publishers, 2002.
Denardo E., The Science of Decision Making: A Problem-based Approach Using Excel, Wiley, 2001.
Dennis J., Jr., and R. Schnabel, Numerical Methods for Unconstrained Optimization and Nonlinear Equations, SIAM, 1996.
Descartes G., Modo Proyecto Como Tomar Decisiones Eestratégicas, Marcombo.
Descartes, G., El Modo Proyecto Como Tomar Decisiones, Alfaomega.
Deutsch M., and P. Coleman, (eds.), The Handbook of Conflict Resolution: Theory and Practice, Jossey-Bass, 2000.
De Wit B., and R. Meyer, Strategy, Process, Content, Context: An International Perspective, West Pub. Co., 1994.
Dhillon B., Design Reliability: Fundamentals and Applications, CRC Press, Boca Raton, FL, 1999.
Di Battista G., P. Eades, R. Tammassia, and I. Tollis, Graph Drawing, Prentice-Hall, 1999
Diener E., and E. Suh, (eds.), Culture and Subjective Well-Being, MIT Press, 2000.
Dijksterhuis E., The Mechanization of the World Picture: Pythagoras to Newton, Princeton University Press, 1986.
Disney, Mulan La Gran Decision De Mulan Pintemos Con Di, Kapelusz
Dixit A., and R. Pindyck, Investment Under Uncertainty, Princeton Univ Pr, 1994.
Dixon L., and G. Szego, (eds.), Towards Global Optimisation, Elsevier North-Holland, 1978.
Dodwell P., Brave New Mind: A Thoughtful Inquiry into the Nature and Meaning of Mental Life, Oxford University Press, 2000.
Dokuchaev N., Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information, Kluwer, 2002. Contains investment data-based optimal strategies.
Donahue, La Decision De Privatizar, Paidos.
Donaldson G., and J. Lorsch, Decision Making at the Top: The Shaping of Strategic Direction, Basic Books, 1983.
Driver M., K. Brousseau, and Ph. Hunsaker, The Dynamic Decisionmaker: Five Decision Styles for Executive and Business Success, Harper & Row, 1990.
Dror M., P. L'Ecuyer, and F. Szidarovszky, (eds.), Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, Kluwer, 2002.
Drucker P., Managing knowledge means managing oneself, Leader to Leader, Vol No 16, Spring 2000. A very interesting article, warning that "... For the first time - literally - substantial and rapidly growing numbers of people have choices. For the first time, they will have to manage themselves. And society is totally unprepared for it."
Drummond, Decisiones Efectivas Guia Practica, Yenny Distribuidora.
Duff I., Erisman A., and J. K. Reid, Direct Methods for Sparse Matrices, Clarendon Press, Oxford, (1986)
Dupacová J., J. Hurt, and J. Štepán, Stochastic Modeling in Economics and Finance, Kluwer Academic Publishers, 2002. Part II of the book is devoted to the allocation of funds and risk management.
Dutta P., Strategies and Games: Theory and Practice, MIT Press, 1999. A theoretical treatment of game theory and a variety of real-world applications, primarily in economics, but also in business, political science, and the law.
Dzemyda G., V. Aaltenis, and A. Zilinskas, Stochastic and Global Optimization, Kluwer Academic Publishers, 2002.
Edelstein-Keshet L., Mathematical Models in Biology, Random House, 1988.
Eden C., and F. Ackermann, Making Strategy: The Journey of Strategic Management, Sage 1998.
Edgar T., D. Himmelblau, and L. Lasdon, Optimization of Chemical Processes, McGraw-Hill, New York, 2001.
Edwaeds, Toma De Decisiones, Fondo Cultura Econom.
Edwards W., (Editor), Utility Theories: Measurements & Applications, Kluwer Academic Publishers, 1992.
Ehrgott M., Multicriteria Optimization, Springer, 2000.
Eilon S., The Art of Reckoning: Analysis of Performance Criteria, Academic Press, 1984.
Eiselt H., and C. Sandblom, Integer Programming and Network Models, Springer, 2000.
Eisen M., Mathematical Methods and Models in the Biological Sciences, Prentice Hall, 1988
Eiser J., Attitudes and Decisions, Routledge, 1988.
Ekelund R., and R. Tollison, Economics: Private Markets & Public Choice, Addison-Wesley Pub. Co., 2000.
Eldenburg L., and S. Wolcott, Cost Management: Measuring, Monitoring, and Motivating Performance, Wiley, 2005.
Eliashberg J., and G. Lilien (eds.), Marketing: Handbooks in Operations Research and Management Science, vol. 5, North-Holland, 1993.
Elster (Comp), La Etica De Las Decisiones Medicas, Celtia Editorial.
Elton E., and M. Gruber, Modern Portfolio Theory and Investment Analysis, Wiley, 1995. Gives a simple method for finding the optimum portfolio from the estimated returns and Standard deviations.
Enders W., Applied Econometric Time Series, Wiley, 1995.
Engel A., Problem-Solving Strategies, Springer Verlag, 1998.
Eppen G., F.Gould, Ch. Schmidt, J. Moore, and L. Weatherford, Introductory Management Science With Spreadsheets, Fifth Edition, Prentice-Hall, 1998.
Evans J., and D. Olson, Statistics, Data Analysis, and Decision Modeling, Prentice Hall, 2002.
Evans J., and D. Olson, Introduction to Simulation and Risk Analysis, Prentice Hall, 2002.
Evans J., and D. Over, Rationality and Reasoning, Hove, Psychology Press, 1996.
Evans J., and E. Minieka, Optimization Algorithms for Networks and Graphs, Marcel Dekker, 1992.
Everitt B., Introduction to Optimization Methods and Their Application in Statistics, London, Chapman and Hall, 1987.
Faga, Como Profundizar En El Analisis De Sus Costos, Tom Granica.
Fairfield, Como Tomar Decisiones Con El Tarot, Del Futuro Distribuc.
Fang S., and S. Puthenpura, Linear Optimization and Extensions: Theory and Algorithms, Prentice Hall, 1993.
Fdida S., and G. Pujolle, Modelling Techniques and Performance Evaluation, Elsevier Science, 1987.
Fedor D., and S. Ghosh, (Eds.), Advances in the Management of Organizational Quality, Elsevier, 2000.
Fiacco A., Introduction to Sensitivity and Stability Analysis in Nonlinear Programming, Acad. Press, 1983.
Fiacco A., Perturbed variations of penalty function methods; example: Projective SUMT, Annals of Operations Research, 27, 371-380, 1990.
Fiacco A., Global multi-parametric optimal value bounds and solution estimates for separable parametric programs, Annals of Operations Research, 27, 381-396, 1990.
Fiacco A., Introduction to Sensitivity and Stability Analysis in Nonlinear Programming, Academic Press, New York, 1983.
Fiacco A. (Editor), Mathematical Programming with Data Perturbations, M. Dekker, New York, 1982.
Fiacco A. (Editor), Mathematical Programming with Data Perturbations-II, M. Dekker, New York, 1983.
Fiacco A. (Editor), Mathematical Programming with Data Perturbations-III, M. Dekker, New York, 1997.
Fiacco A., et al. (Editors), Sensitivity, Stability, and Parametric Analysis, North-Holland, New York, 1984.
Fiacco A., and Y. Ishizuka, Sensitivity and stability analysis for nonlinear programming, Annals of Operations Research, 27, 1990, 215-236.
Fiacco A., and Y. Ishizuka, Suggested research topics in sensitivity and stability analysis for semi-infinite programming problems, Annals of Operations Research, 27, 65-76, 1990.
Fiacco A., and K. Kortanek, (Editors), Extremal Methods and Systems Analysis, Springer-Verlag, New York, 1980.
Fiacco A., and J. Kyparisis, A tutorial on parametric nonlinear programming Sensitivity and stability analysis, in Systems and Management Science by Extremal Methods, F. Phillips and J. Rousseau, eds., Kluwer Academic Publishers, Boston, 1992.
Fiacco A., and J. Liu, Survey of current applications of nonlinear programming, GMOOR Newsletter 2, Technische Universität Berlin, 15-25, 1994.
Fiacco A., and J. Liu, Degeneracy in NLP and the development of results motivated by its presence, Annals of Operations Research, 46, 61-80, 1993.
Fiacco A., and G. McCormick, Nonlinear Programming: Sequential Unconstrained Minimization Techniques, SIAM, Philadelphia, 1990.
Fiedler B., (ed.), Handbook of Dynamical Systems, Elsevier Science, 2002.
Findler N., Contributions to a Computer-Based Theory of Strategies, Springer-Verlag, 1990.
Fischhoff B., and C. Manski, Elicitation of Preferences, Kluwer Academic Publishers, 2000.
Fishburn P., Utility Theory for Decision-Making, Wiley, 1970.
Fishburn P., The Foundations of Expected Utility, D. Reidel Pub., 1982.
Fishburn P., Interval Orders and Interval Graphs, Wiley, 1985.
Fishburn P., Nonlinear Preference and Utility Theory, Johns Hopkins University Press, 1988.
Fishman G., Discrete-Event Simulation: Modeling, Programming and Analysis, Springer-Verlag, Berlin, 2001.
Fishman G., Monte Carlo: Concepts, Algorithms, and Applications, Springer, New Yorker, 1996.
Fitzsimmons J., and M. Fitzsimmons, Service Management: Operations, Strategy, and Information Technology, McGraw-Hill, 2001.
Flament C., Application of Graph Theory to Group Structure, Prentice-Hall, 1963.
Fleischmann M., Quantitative Models for Reverse Logistics, Springer, Berlin, 2001. Lecture notes in economics and mathematical systems, vol. 501.
Fletcher R., Practical Methods of Optimization, Wiley, 1988.
Flin R., et al., (Ed.), Decision Making Under Stress: Emerging Themes and Applications, Ashgate Pub., 1997.
Floudas C., Deterministic Global Optimization: Theory, Algorithms and Applications, Kluwer Academic Publishers, 1999.
Floudas C., and P. Pardalos, (eds.), Encyclopedia of Optimization, Kluwer Academic Pub., 2001.
Floudas C., P. Pardalos, and C. Adjiman, Handbook of Test Problems in Local and Global Optimization, Kluwer Academic Pub., 1999.
Floudas C. and, P. Pardalos (Eds.), State of the Art in Global Optimization: Computational Methods and Applications, Kluwer Academic Pub., 1996.
Floudas C., and P. Pardalos, (eds.), Recent Advances in Global Optimization, Princeton University Press, Princeton, 1992.
Floudas C., Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications, Oxford University Press, 1995.
Fodor J., B. De Baets, and P. Perny (eds), Preferences and Decisions under Incomplete Knowledge, Springer, 1999.
Fodor J., and and M. Roubens, Fuzzy Preference Modelling and Multicriteria Decision Support, Kluwer, 1994.
Forgó F., Nonconvex Programming, Akadémiai Kiadó, Budapest, 1988.
Forman E., and M. Selly, Decision by Objectives: How to Convince Others That You Are Right, World Scientific, 2001.
Forrester J., Collected Papers of Jay W. Forrester, Wright-Allen Press, Inc., 1975. Contains numerous models to understand the evolution of human behavior, including strategic interpersonal and behavioral dynamics models.
Fortuin L, P. Van Beek, and L. Van Wassenhove, OR at Work: Practical Experiences of Operations Research, Taylor & Francis Publishers, London, 1996.
Fowler A., Mathematical Models in the Applied Sciences, Cambridge University Press, 1997.
France J., and J. Thornley, Mathematical Models in Agriculture: A Quantitative Approach to Problems in Agriculture and Related Sciences, Butterworths, Boston, 1984.
Franceschini F., Advanced Quality Function Deployment, St. Lucie Press, 2002.
Francis, McGinnis & White, Facility Layout and Location, Prentice-Hall, 1992.
Franses P, and A. Montgomery, (eds.), Econometric Models in Marketing, Elsevier Science, 2002. Interface between Marketing and Econometrics.
French S. Decision Theory: An Introduction to the Mathematics of Rationality, Ellis Horwood Limited, 1988.
Freud S., Civilization and Its Discontents, J. Strachey (editor), Norton & Co., New York, 1999.
Fromm E., Escape From Freedom, Henry Holt, 1995.
Fuente A., Mathematical Methods and Models for Economists, Cambridge University Press, 2000.
Fuller J., Managing Performance Improvement Projects: Preparing, Planning, and Implementing, Pfeiffer & Co., 1997.
Gable C., Strategic Action Planning Now: A Guide for Setting and Meeting Your Goals, CRC Press, 1999.
Gal T., and Greenberg, (editors), Recent Advances in Sensitivity Analysis and Parametric Programming, Kluwer Publishers, (1996)
Gal T., T. Stewart, and T. Hanne, (Eds.), Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications, Kluwer, Boston, 1999.
Galbraith C, and M. Ryan, (eds.), Strategies and Organizations in Transition, Elsevier Pub., 2001.
Gallagher, Metodos Cuantitativos Para Toma Decisiones, McGraw-Hill.
Gao D., R. Ogden, and G. Stavroulakis (Eds.), Nonsmooth/Nonconvex Mechanics: Modeling, Analysis, and Numerical Methods, Kluwer Academic Pub., 2001.
Gärdenfors P., and N-E. Sahlin, (Eds.), Decision, Probability and Utility, Cambridge Univ Pr., 1999. It covers the foundations of decision theory, the conceptualization of probability and utility, philosophical difficulties with the rules of rationality and with the assessment of probability, and causal decision theory.
Gardner R., Games for Business and Economics, John Wiley & Sons, 1995.
Garnham A., and J. Oakhill, Thinking and Reasoning, Blackwell, 1994.
Garrity T., All the Mathematics You Missed But Need to Know for Graduate School, Cambridge University Press, 2001.
Garvey P., Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Marcel Dekker, 2000.
Gasparini, La Secreta Decision, Corregidor.
Gass S., and C. Harris, (Eds.), The Encyclopedia of Operations Research and Management Science, Kluwer Academic Publishers, Boston, 1996.
Gauthier J-P. and I. Kupka, Deterministic Observation Theory and Applications, Cambridge University Press, 2001.
Gazis D., Traffic Theory, Kluwer Academic Publishers, 2002.
Geisler E., The Metrics of Science and Technology, Quorum Books, 2000.
Geisler E., Methodology, Theory, and Knowledge in the Managerial and Organizational Sciences: Actions and Consequences, Quorum Books, 1999.
Geisler E., and O. Heller, Management of Medical Technology: Theory, Practice, and Cases, Kluwer Academic Publishers, 1998.
Gelatt, Toma De Decisiones Y Juicio Clinico, Piramide.
Gelenbe E., and G. Pujolle, Introduction to Queuing Networks, Wiley, 1998.
German R., Performance Analysis of Communication Systems: Modeling with Non-Markovian Stochastic Petri Nets, Wiley, New York, 2000.
Gershenfeld N., The Nature of Mathematical Modeling, Cambridge Univ. Pr., 1998.
Gharajedaghi J., Systems Thinking - Managing Chaos and Complexity: A Platform for Designing Business Architecture, Butterworth-Heinemann, 1999.
Ghemawat P., Commitment: The Dynamic of Strategy, Maxwell Macmillan Int., 1991.
Gheorghe A., Decision Processes in Dynamic Probabilistic Systems, Kluwer Academic, 1990.
Ghertman, M., J. Obadia, J-L. Arregle (Editors), Statistical Models for Strategic Management, Kluwer Academic Publishers, 1997.
Gibbons R., Game Theory for Applied Economists, 1992, Princeton University Press.
Giere R., Understanding Scientific Reasoning, Holt Rinehart & Winston, 1998.
Gigerenzer G., Adaptive Thinking: Rationality in the Real World, Oxford University Press, 2000.
Gigerenzer G., and P. Todd, Simple Heuristics That Make Us Smart, Oxford University Press, 1999.
Gilbert K., and H. Kuhn, A History of Esthetics, Dover, New York, 1972.
Gilboa I., and D. Schmeidler, A Theory of Case-Based Decisions, Cambridge University Press, 2001.
Gill Ph., Practical Optimization, Academic Press, 1982.
Gill Ph., Numerical Linear Algebra and Optimization, Addison Wesley, 1991.
Gill Ph., W. Murray, and M. Wright, Practical Optimization, Academic Press, 1981.
Gimblett R., Integrating Geographic Information Systems and Agent-Based Modeling: Techniques for Simulating Social and Ecological Processes, Oxford University Press, 2002.
Girón F., (Ed.), Applied Decision Analysis, Kluwer Academic, 1998.
Godsil Ch., and G. Royle, Algebraic Graph Theory, Springer, New York, 2001.
Goldratt E., and J. Cox, Goal : A Process of Ongoing Improvement, 1988, North River.
Goldschmidt, Tablas De Decisiones, Club De Estudio.
Golub A., Decision Analysis: An Integrated Approach, Wiley, 1997.
Gondran, M., and M. Minoux, Graphs and Algorithms, Wiley-Interscience, 1986.
Goodwin P., G. Wright, and L. Phillips, Decision Analysis for Management Judgment, Wiley, 1999.
Gordon V., and S. Sears, Academic Alternatives: Exploration and Decision Making, Prentice Hall, 1997.
Gore Ch., K. Murray, and B. Richardson, Strategic Decision-Making, Cassell Pub., 1992.
Gosavi A., Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning, Kluwer Academic Publishers, 2003. It provides the foundation simulation-based optimization techniques and their computational implementation aspects.
Gottlieb J., Evolutionary Algorithms for Constrained Optimization Problems, Shaker, Aachen, 2000.
Graham R., Game Theory: Introduction and Applications, 1997, Oxford University Press.
Graves S., and J. Ringuest, Models & Methods for Project Selection Concepts from Management Science, Finance and Information Technology, Kluwer, 2002.
Greenberg J., Pyszczynski T., and S. Solomon, The causes and consequences of self-esteem: A terror management theory. In R. Baumeister (Ed.), Public Self and Private Self, New York, Springer-Verlag, 1986.
Greenberg H., A Computer-assisted Analysis System for Mathematical Programming Models and Solutions: A User's Guide for ANALYZE, Kluwer Academic, 1993.
Greene, Toma De Decisiones En Medicina, Harcourt Brace.
Griewank A., Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Frontiers in Applied Mathematics, 19, SIAM, 2000.
Grimes J., Quest for Certainty: A Comparative Study of Heidegger and Sankara, Peter Lang Publishing, 1989,
Grimm R., Nietzsche's Theory of Knowledge, New York, W. de Gruyter, 1977.
Groebner D., P. Shannon, Ph. Fry, and K. Smith, Business Statistics: A Decision-Making Approach, Prentice Hall, 2001.
Gross D., and C. Harris, Fundamentals of Queueing Theory, Wiley, New York, 1998. Contains spreadsheet programs that implement many of the models in the book.
Grossmann I., (ed.), Global Optimization in Engineering Design, Kluwer Academic Publisher, Boston, 1996.
Gunasekaran A., (Ed.), Agile Manufacturing: The 21st Century Competitive Strategy, New York, Elsevier Science, 2001.
Gupta R., Defense Positioning and Geometry: Rules for a World With Low Force Levels, Brookings Institute, 1993.
Gutierrez, Etica Y Decision Racional, Sintesis.
Gutierrez, Decisiones Financieras, Tesis.
Gutierrez Marulanda, Decisiones Financieras Y Costo, Kapelusz.
Guttenplan S., Mind's Landscape: An Introduction to the Philosophy of Mind, Blackwell Pub., London, 2000.
Hacking I., Representing and Intervening: Introductory Topics in the Philosophy of Natural Science, Cambridge University Press, 1983.
Hadley G., Nonlinear and Dynamic Programming, Addison-Wesley, 1964.
Hager W., D. Hearn, and P. Pardalos, (Editors), Large Scale Optimization: State of the Art, Kluwer Academic Publishing, 1994.
Haines S., The Systems Thinking Approach to Strategic Planning and Management, CRC Press, 2000.
Haksever C., B. Render, R. Russell, and R. Murdick, Service Management and Operations, Prentice-Hall, 1999.
Hall, F. Toma Decisiones En Odontologia, Harcourt Brace, Mexico, 1998.
Hall D., and R. Ames, Thinking from the Han: Self, Truth, and Transcendence in Chinese and Western Culture, State University of New York Press, 1998.
Halmos P, Finite Dimensional Vector Spaces, Springer Verlag, 1986.
Halpin D., and L. Riggs, Planning and Analysis of Construction Operations, Wiley, 1992.
Hammond J., R. Keeney, and H. Raiffa, Smart Choices: A Practical Guide to Making Better Decisions, Harvard Business School Press., 1998.
Hammond J., R. Keeney, and H. Raiffa, Decisiones Inteligentes, Gestion, 2000.
Hampden-Turner C., Charting Corporate Culture, Addison Wesley, 1990.
Hanne T., Intelligent Strategies for Meta Multiple Criteria Decision Making, Kluwer Academic Publishers, 2000.
Hannon B., M. Ruth, Dynamic Modeling: Modeling Dynamic System, Springer Verlag, 2000. Provides models for the optimal use of natural resources.
Hanselman D., and B. Littlefield, Mastering MATLAB 5: A Comprehensive Tutorial and Reference, Prentice Hall, 1997
Hansen E., Global Optimization Using Interval Analysis, Marcel Dekker, New York, 1992.
Harel D., D. Kozen, and J. Tiuryn, Dynamic Logic, MIT Press, 2000. Among the many approaches to formal reasoning the dynamic logic has had the strongest impact on formal theories of knowledge.
Harman G., Change in View: Principles of Reasoning, MIT Press, 1986.
Harrington J., and K. Tumay, Simulation Modeling Methods: To Reduce Risks and Increase Performance, McGraw-Hill, 2000. CD-ROM included.
Harrington J, G. Hoffherr, and R. Reid, The Creativity Toolkit: Provoking Creativity in Individuals and Organizations, McGraw-Hill, 1998.
Harrington J., et. al., Business Process Improvement Workbook: Documentation, Analysis, Design, and Management of Business Process Improvement, McGraw-Hill, 1997.
Harris T., I'm Ok - You're Ok: A Practical Guide to Transactional Analysis, Galahad Books, 1999.
Harrison E., The Managerial Decision-Making Process, Houghton Mifflin Press, 1999.
Hassin R., and M. Haviv, To Queue or Not to Queue: Equilibrium Behavior in Queueing Systems, Kluwer, 2002.
Hayakawa Y., T. Irony, and M. Xie, (eds.), Systems and Bayesian Reliability, World Scientific Publishing Co., 2001. A collection of articles on reliability systems and Bayesian reliability analysis.
Hayashi F., Econometrics, Princeton Univ Press, 2000. Covers time-series and cross-section analysis.
Hay Group Staff, Achieving the Perfect Fit: Essential Cultural Insights for Global Business Success, Gulf Publishing Company, 1998.
Hayhurst, G., Mathematical Programming Applications, Macmillan Pub. Co., (1987).
Hazell P., and R. Norton, Mathematical Programming for Economic Analysis in Agriculture, Macmillan Publishing Co., 1986.
Heck R., and S. Thomas, An Introduction to Multilevel Modeling Techniques, Erlbaum, Lawrence Associates, Inc., 1999.
Heil G., D. Stephens, D. McGregor, and W. Bennis, Managing the Human Side of the Enterprise, Wiley, 2000.
Heizer, Direcc De La Procuccion Decisiones Estrategic, Prentice-hall.
Heizer, Direcc De La Procuccion Decisiones Tacticas, Prentice-hall.
Heizer, La Toma De Decisiones, Grijalbo.
Heller F., Decision-Making and Leadership, Cambridge University Press, 1992.
Heller R., The Decision Makers: The Men and the Million-Dollar Moves Behind Today's Great Corporate Success Stories, E.P. Dutton, 1989.
Hertog D. den., Interior point approach to linear, quadratic, and convex programming: Algorithms and complexity, Kluwer Academic Publishers, 1994.
Hesse R., Managerial Spreadsheet Modeling and Analysis, Irwin, 1997.
Heyl J., Cases in Operations Management, Addison Wesley, 1994.
Hickson D., et al., Top Decisions: Strategic Decision Making in Organizations, Blackwell, 1986.
Hicks M., Problem Solving in Business and Management: Hard, Soft and Creative Approaches, Chapman & Hall, 1991.
Hickson D., R. Butler, and D. Wilson, The Bradford Studies of Strategic Decision Making, Ashgate Publishing Company, 2000.
Hilton R., M. Maher, and F. Selto, Cost Management: Strategies for Business Decisions, Irwin/McGraw-Hill, 2002.
Hirshleifer J., and J. Riley, The Analytics of Uncertainty and Information, Cambridge University Press, 1992.
Hobbs B., and P. Meier, Energy Decisions and the Environment: A Guide to the Use of Multicriteria Methods, Kluwer Academic Publishers, 2000.
Hof J., and M. Bevers, Spatial Optimization in Ecological Applications, Columbia University Press, 2002.
Hogarth R., Judgement and Choice: The Psychology of Decision, Wiley & Sons, 1987.
Hollihan T., and K. Baaske, Arguments and Arguing: The Products and Process of Human Decision Making, Waveland Press, 1998.
Holsapple C., Jacob V., and A. Whinston, Operations Research and Artificial Intelligence, Ablex Publishing Corporation, 1994.
Holtz H., The Complete Guide to Consulting Contracts: How to Understand, Draft, and Negotiate Contracts and Agreements that Work, Dearborn Trade, 1997.
Hooker J., Logic-Based Methods for Optimization: Combining Optimization and Contraint Satisfaction, Wiley, 2000.
Hoppensteadt F., and Ch. Peskin, Modeling and Simulation in Medicine and the Life Sciences, Springer-Verlag, 2002. It uses simple examples in which elementary mathematical models can be used to gain useful biological insight.
Horst R., and P. Pardalos, Handbook of Global Optimization, Kluwer Academic Publishers, 1995.
Horst, R. and H. Tuy, Global Optimization: Deterministic Approaches, Springer Verlag, Heidelberg, 1996.
Horst R., P. Pardalos and N. Thoai, Introduction to Global Optimization, Kluwer Academic Publishers, 2000.
Horst R., and P. Pardalos (Eds), Handbook of Global Optimization, Kluwer Academic Publishers, 1995.
Howison S., F. Kelly, and P. Wilmott, (eds.), Mathematical Models in Finance, Chapman & Hall, London, 1995.
Hoy W., and J. Tarter, Administrators Solving the Problems of Practice: Decision-Making Concepts, Cases, and Consequences, Prentice Hall, 1994.
Hritonenko N., and Y. Yatsenko, Applied Mathematical Modelling of Engineering Problems, Kluwer Academic Publishers, 2003.
Hu T., Combinatorial Algorithms, Addison-Wesley, Reading, Mass., 1982.
Huber, Toma De Decisiones En La Gerencia, Trillas.
Humphreys P., Probability and Probabilistic Causality, Kluwer Academic Publishers, 1994.
Humphreys P., O. Svenson, and A. Vari, Analysis and Aiding Decision Processes, North-Holland, 1993.
Hunt D., Process Mapping: How to Reengineer Your Business Processes, John Wiley & Sons, 1996.
Hunter J., J. Danes, and S. Cohen, Mathematical Models of Attitude Change, Academic Press, 1984.
Hussey D., (Ed.), The Strategic Decision Challenge, John Wiley & Son, 1998.
Ingram P., and B. Silverman, (eds.), The New Institutionalism in Strategic Management, Elsevier Science, 2002. The focus is on the fact that institutions are the "rules of the game" of economic behavior.
Intriligator M., Mathematical Optimization and Economic Theory, SIAM, 2002.
Islam, S., Optimal Growth Economics: An Investigation of the Contemporary Issues and the Prospect for Sustainable Growth, Elsevier, 2001.
Ivanov V., Model Development and Optimization, Kluwer Academic Pub., 1999.
Jaiswal N., Military Operations Research: Quantitative Decision Making, Kluwer Academic Publishing, 1997.
James M., Principles of Object-oriented Analysis and Design, Prentice Hall, 1993.
James M., D. Jongeward, and J. Bell, Born to Win: Transactional Analysis With Gestalt Experiments, 25th edition, Perseus Press, 1996.
Janis I., Crucial Decisions: Leadership in Policymaking and Crisis Management, Collier MacMillan, 1989.
Janis I., and L. Mann, Decision Making: A Psychological Analysis of Conflict, Choice and Commitments, Free Press, 1977.
Jaulin L., M. Keiffer, O. Didrit, and E. Walter, Applied Interval Analysis, Springer-Verlag, 2001. Contains numerical approximation methods based on interval analysis useful for applications in engineering design decisions.
Jennings D., and S. Wattam, Decision Making: An Integrated Approach, Pitman Pub., Financial Times, and Prentice Hall, 1998.
Jansen B, Interior Point Techniques in Optimization: Complementarity, Sensitivity and Algorithms, Kluwer Academic Pub., 1997.
Jensen P., and J. Barnes, Network Flow Programming, John Wiley & Sons, 1980.
Jeter M., Mathematical Programming: An Introduction to Optimization, Marcel Dekker, 1986.
Johnson, Si O No Guia Para Las Decisiones, Emece.
Jongen H., et al., Nonlinear Optimization in Finite Dimensions: Morse Theory, Chebyshev Approximation, Trasversality, Flows, Parametric Aspects, Kluwer Academic Pub., 2000.
Joyce J., The Foundations of Causal Decision Theory, Cambridge Univ Pr., 1999. It offers a ‘representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory.
Judd K., Numerical Methods in Economics, The MIT Press, 1998. Presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyzes.
Jungnickel D., Graphs, Networks and Applications, Springer, 1998.
Jurjevich R., The Hoax of Freudism: A Study of Brainwashing the American Professionals and Laymen, Philadelphia, Dorrance, 1974.
Kahneman D., P. Slovic, and A. Tversky, Judgement Under Uuncertainty: Heuristics and Biases, Cambridge University Press, 1981.
Kall, P. and S. W. Wallace, Stochastic Programming, John Wiley & Sons, Chichester, England, 1994.
Kaplan M., Decision Theory as Philosophy, Cambridge University Press, 1996.
Kaplan W., Maxima and Minima With Applications: Practical Optimization and Duality, Wiley, 1999.
Kapur J., Maximum-entropy Models in Science and Engineering, Wiley, 1993.
Karaboga D., and D. Pham, Intelligent Optimization Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks, Springer Verlag, 2000.
Kaas R., M. Goovaerts, J. Dhaene, and M. Denuit, Modern Actuarial Risk Theory, Kluwer Academic Publishers, 2001.
Kauffman S., At Home in the Universe: The Search for Laws of Self-Organization and Complexity, Oxford Univ. Press, 1996.
Kaufmann W., From Decidophobia to Autonomy: Without Guilt and Justice, A Delta Book, 1975.
Kaufmann W., Religions in Four Dimensions: Existential and Aesthetic, Historical and Comparative, Reader's Disgest Press, 1976.
Kearfott R., Rigorous Global Search: Continuous Problems, Kluwer Academic Publishers, Boston, 1996
Keeney R., Value-Focused Thinking: A Path to Creative Decisionmaking, Harvard University Press, 1992.
Keeney R., and H. Raiffa, Decisions With Multiple Objectives: Preferences and Value Trade-offs, John Wiley, New York, 1976.
Kelley C., Iterative Methods for Optimization, SIAM, 1999.
Kelly, Las Tecnicas Para La Toma De Decisioes En Equipo, Granica.
Keys P., Operational Research and Systems: The Systemic Nature of Operational Research, Plenum Press, New York, 1991.
Keys P. (Editor), Understanding the Process of Operational Research: Collected Readings, Wiley, 1995.
Khan A., Cost and Optimization in Government, Quorum Books, 2000.
Kahneman D., and A. Tversky, (eds.), Choices, Values and Frames, Cambridge Univ Pr., 2000.
Kahneman D., and et al., (eds.), Judgment Under Uncertainty, Cambridge Univ Pr., 1982.
Kennedy P., A Guide to Econometrics, MIT Press, 1998. Includes the standard topics in addition to bootstrapping, count data, duration models, generalized method of moments, instrumental variable estimation, linear structural relations, Monte Carlo studies, and neural nets.
Kidd J. (ed.), Managing with Operational Research, St. Martin’s Press, New York, 1985.
Kim D., Introduction to Systems Thinking, Pegasus Communications, 1999.
Kim J., Mind in a Physical World, MIT Press, 2000. Discussing and critically commenting on the mind-body problem and mental causation.
Kirkwood C., Strategic Decision Making: Multiobjective Decision Analysis with Spreadsheets, Brooks/Cole Pub Co, 1996.
Kirkwood C., Strategic Decision Making: Multiobjective Analysis with Spreadsheets, Duxbury Press, 1996.
Kitter G., Investment Mathematics for Finance and Treasury Professionals: A Practical Approach, Wiley, 1999.
Klammer Th., Managing Strategic and Capital Investment Decisions: Going Beyond the Numbers to Improve Decision Making, Irwin Pub., 1994.
Klamroth K., Single Facility Location Problems with Barriers, Springer Verlag. 2002.
Klein D., Decision-Analytic Intelligent Systems: Automated Explanation and Knowledge Acquisition, Lawrence Erlbaum Pub., 1994.
Klein G., et al., (Ed.), Decision Making in Action: Models and Methods, Ablex Pub., 1993.
Klein G., Sources of Power: How People Make Decisions, MIT Press, 1998.
Kleindorfer P., and et al., Decision Sciences: An Integrative Perspective, Cambridge University Press, 1994.
Kluever J., The Dynamics and Evolution of Social Systems: New Foundations of a Mathematical Sociology, Kluwer Academic Publishers, 2000.
Koerner S., Experience and Theory, Routledge, Circa 1964.
Kogan K., and E. Khmelnitsky, Scheduling: Control-Based Theory and Polynomial-Time Algorithms, Kluwer Academic Pub, 2000.
Kosko B., Fuzzy Thinking, Flamingo, 1993.
Koller G., Risk Modeling for Determining Value and Decision Making, Chapman & Hall/CRC, 2000.
Kontoghiorghes E., B. Rustem, and S. Siokos, (eds.), Computational Methods in Decision-Making, Economics and Finance, Kluwer Academic Publishers, 2002.
Korn R., and E. Korn, Options Pricing and Portfolio Optimization: Modern Methods of Financial Mathematics, Amer. Mathematical Society, 2000.
Korte B., and J. Vygen, Combinatorial Optimization: Theory and Algorithms, Springer Verlag, 2000.
Kouvelis P., and G. Yu, Robust Discrete Optimization and its Applications, Kluwer Academic Publishers, London, 1997. Provides a comprehensive discussion of motivation for sources of uncertainty in optimization, and a good discussion on minmax regret and its advantages over other criteria.
Kraft D., and B. Royce, Operations Research for Libraries and Information Agencies: Techniques for the Evaluation of Management Decision Alternatives, Academic Press, 1991.
Kulisch U., R. Lohner, and A. Facius (eds.), Perspectives on Enclosure Methods, Springer, Vienna, 2001.
Kulkarni V., Modeling and Analysis of Stochastic Systems, Chapman & Hall, 1995.
Kwak N., Mathematical Programming With Business Applications, McGraw-Hill, 1973.
Kwok Y., Mathematical Models of Financial Derivatives, Springer, NY., 1998.
Labbe W., and R. Coppins, Linear Programming and Extensions, McGraw-Hill, 1981.
Labbé M., and et al., (eds.), Operations Research and Decision Aid Methodologies in Traffic And Transportation Management, Springer, 1998.
Lapin L., and and W. Whisler, Cases in Management Science, Duxbury Press, 1996.
Laporte E., and P. Le Tallec, Numerical Methods in Sensitivity Analysis and Shape Optimization, Springer, 2003.
Larson K., Essentials of Financial Accounting: Information for Business Decisions, McGraw-Hill, 1997.
Le Van C., and R-A. Dana, Dynamic Programming in Economics, Kluwer, 2003. Provides a good treatment of optimal growth models in infinite discrete time horizon.
Lawler E., Combinatorial Optimization: Networks and Matroids, Dover Pub., 2000.
Lawrence J., and B. Pasternack, Applied Management Science: A Computer-Integrated Approach for Decision Making, John Wiley & Sons, 1998.
Lawrence K., G. Reeves, and J. Guerard, (eds.), Advances in Mathematical Programming and Financial Planning, Elsevier, 2001.
Lazzari, Teoria De La Decision Fuzzy, Macchi Ediciones.
Leach J., Survival Psychology, Macmillian, 1994.
Lee Ch-F., (ed.), Advances in Financial Planning and Forecasting, Elsevier Science, 2002. Financial Analysis, planning and forecasting.
Lee D., R. Price, and P. Newman, Decision Making in Organisations, Financial Times Prentice Hall, 1999.
Lenstra J., A. Kan, and A. Schrijver, (eds.), History of Mathematical Programming, North-Holland, 1991.
Leon, Analisis De Decisiones, McGraw-Hill.
Leondes C., (ed.), Optimization Methods for Manufacturing, CRC Press, 2000.
Leondes C., Optimization Techniques, Academic Press, 1997.
Leopold-Wildburger U., G. Gustav Feichtinger, and Klaus-Peter Kistner (eds.), Modelling and Decisions in Economics: Essays in honor of Franz Ferschl, Physica-Verlag, New York, 1999.
Lesh R., and H. Doerr, Symbolizing, Communicating, and Mathematizing: Key Concepts of Models and Modeling, in P. Cobb, E. Yackel, and K. McClain (Eds.), Symbolizing and Communicating in Mathematics Classrooms: Perspectives on Discourse, Tools, and Instructional Design, Lawrence Erlbaum Associates, N.J., 361-383, 2000.
Lewis, El Arte Y La Ciencia De Las Decisiones Correctas, Planeta.
Lewis A., and J. Borwein, Convex Analysis and Nonlinear Optimization: Theory and Examples, Springer Verlag, 2000, Contains theory of computational optimization techniques.
Liberatore M., and B. Nydic, Introduction to Decision Technology: Modeling, Software, and Applications, 1999.
Liebman, J., L. Lasdon, L. Schrage, and A. Warren, Modeling and Optimization with GINO, Scientific Press, Palo Alto (1986).
Lilien, Toma De Decisiones En Mercadotecnia, C.E.C.S.A.
Lindley, Princip Teoria De La Decision, Vicens-vives.
Lindly D., Making decision, Chichester, John Wiley & Sons, 1985.
Linstone H., Decision Making for Technology Executives: Using Multiple Perspectives to Improved Performance, Artech House, 1999.
Liu B., and A. Esogbue, Decision Criteria and Optimal Inventory Processes, Kluwer Academic, 1999.
Livio M., The Accelerating Universe: Infinite Expansion, the Cosmological Constant, and the Beauty of the Cosmos, Wiley, John & Sons, 2000.
Ljungqvist L., and T. Sargent, Recursive Macroeconomic Theory, MIT Press, 2000. Includes dynamic programming and simulation.
Llewellyn R., Linear Programming, Holt-Rhinehart-Winston, 1964.
Lomi A., and E. Larsen, (eds.), Dynamics of Organizations: Computational Modeling and Organization Theories, MIT Press, 2001.
Lootsma F., Multi-Criteria Decision Analysis via Ration and Difference Judgement, Kluwer Academic Publishers, 1999.
Lorange P., and Ch. de Bellerive, New Vision for Management Education: Leadership Challenges, Elsevier, 2002.
Luderer B., L. Minchenko, and T. Satsura, Multivalued Analysis and Nonlinear Programming Problems with Perturbations, Kluwer Academic Publishers, 2002.
Luenberger, D., Linear and Nonlinear Programming, Addison-Wesley, 1984.
Luenberger D., Investment Science, Oxford Univ Press, 1997.
Luna Salles, Decisiones De Vida Y Muerte, Sudamericana.
Lyneis J., Corporate Planning and Policy Design: A System Dynamics Approach, MIT Press, 2000, Contains an excellent basic model of a corporate accounting system.
Lyuu Y-D., Financial Engineering and Computation: Principles, Mathematics, Algorithms, Cambridge University Press, 2001.
Machina M., and B. Munier, Beliefs, Interactions and Preferences in Decision Making, Kluwer Academic Publishers, 1999.
Makridakis S., R. Hyndman, and S. Wheelwright, Forecasting: Methods And Applications, John Wiley & Sons, 1997.
Mangasarian, Nonlinear Programming, McGraw-Hill, 1969.
Manktelow K., Reasoning and Thinking, Psychology Press, UK, 1999.
Manning N., et al., Strategic Decisionmaking In Cabinet Government: Institutional Underpinnings and Obstacles, World Bank, 1999.
Mansfield E., Managerial Economics and Operations Research, W W Norton, 1987.
Manski Ch., and D. McFadden, (eds.), Structural Analysis of Discrete Data with Econometric Applications, MIT Press, 1986.
Mapcal, Toma De Decisiones Eficaces, Diaz De Santos.
March J., Decisions and Organizations, Basil Blackwell Inc, 1989.
March J., and Ch. Heath, A Primer on Decision Making; How Decisions Happen, Free Press, 1994.
Marchuk G., Mathematical Models in Environmental Problems, Elsevier Science Pub., 1986.
Markland R., Topics in Management Science, John Wiley & Sons, 1989.
Markland R., and J. Sweigart, Quantitative Methods: Applications to Managerial Decision Making, John Wiley & Sons, 1987.
Marlow W., Mathematics for Operations Research, Dover Publications Inc., 1993.
Maros I., Computational Techniques of the Simplex Method, Kluwer Publishers, 2002.
Marshall K., and R. Oliver, Decision Making and Forecasting: With Emphasis on Model Building and Policy Analysis, McGraw-Hill, 1995.
Martello S. and P. Toth, Knapsack Problems: Algorithms and Computer Implementations, Wiley, 1990.
Martin R., Large Scale Linear and Integer Optimization: A Unified Approach, Kluwer Academic Publishers, 1999.
Maslow A., D. Stephens, and G. Heil, Maslow on Management, Wiley, 1998.
Massam B., Multi-Criteria Decision Making (MCDM) Techniques in Planning, New York, Elsevier Science, 1988.
Maurice Ch., Managerial Economics: Applied Microeconomics for Decision Making, McGraw-Hill Higher, 1995.
McCall M., and R. Kaplan, Whatever It Takes: The Realities of Managerial Decision Making, Prentice Hall, 2001.
McDowell J., and J. De Smith, El Padre Que Yo Quiero Ser: 10 Cualidades del Corazon Que Capacitan A Sus Hijos Para Tomar Decisiones Correctas, 1999.
Meerloo, J., The Rape of the Mind, The University Library, 1961.
Mehlmann A., The Game's Afoot! Game Theory in Myth and Paradox, American Mathematical Society, 2000.
Meier P., and B. Hobbs, Energy Decisions and the Environment: A Guide to the Use of Multicriteria Methods, Kluwer Academic Pub., 2000.
Meigs, Contabilidad La Base Para Decisiones Gerenciales, McGraw-Hill.
Meisels K., A Primer of Linear Programming, New York University Press, 1962.
Mercado, Tecnicas Para La Toma De Decisiones, Limusa.
Meredith J., Quantitative Business Analysis, South-Western College Publishing, 1999.
Meredith J. and S. Mantel, Project Management: A Managerial Approach, Wiley, 2000
Meskens N., and M. Roubens, (Eds.), Advances in Decision Analysis, Kluwer Academic Publishers, 1999.
Meyer C., Matrix Analysis and Applied Linear Algebra, SIAM, 2000.
Meyer C., and R. Plemmons, Linear Algebra, Markov Chains, and Queueing Models, In IMA Volumes in Mathematics and its Applications, Vol. 48, Springer-Verlag, 1993.
Michalewicz Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer, New York, 1996.
Michalewicz Z., and D. Fogel, How to Solve It: Modern Heuristics, Springer-Verlag, N.Y., 2000. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulatated annealing, tabu search, and evolutionary computation.
Miettinen K., Nonlinear Multiobjective Optimization, Kluwer Academic Publishers, 1999.
Miettinen K., Makela M., Neittaanmaki P., and J. Periaux, (Eds.), Evolutionary Algorithms in Engineering and Computer Science, John Wiley & Sons, 1999.
Migdalas A., P. Pardalos, and P. Värbrand, (Eds.), From Local to Global Optimization, Kluwer Academic, 2001.
Miland, Analice Problemas Y Tome Decisiones Accion, Granica.
Miland, Resolucion De Problemas & Toma De Decisiones, Macchi Ediciones.
Miller R., Optimization: Foundations and Applications, Wiley, 1999.
Mingers J., and A. Gill, Multimethodology: The Theory and Practice of Combining Management Science Methodologies, Wiley, Chichester, 1997.
Minoux, M., Mathematical Programming: Theory and Algorithms, Wiley, New York, (1986).
Mitchell G., The Practice of Operational Research, Wiley, 1993.
Mitra G., and R. Levkovitz, Interior Point Methods for Linear Programming Optimization: Theory and Practice, John Wiley & Sons, 2000.
Mockus J., Bayesian Approach to Global Optimization, Kluwer Academic Publishers, Boston, 1989.
Momoh A., Electric Power System Applications of Optimization, Marcel Dekker, 2000.
Monahan G., Management Decision Making, Cambridge Univ Pr., 2000. A spreadsheet-based introduction to the tools and techniques of modern managerial decision making.
Moore P., The Business of Risk, Cambridge University Press, 1984.
Morabito J., I. Sack, and A. Bhate, Organization Modeling: Innovative Architectures for the 21st Century, Prentice Hall, 1999.
Morgan M., and M. Henrion, Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy, Cambridge University Press, 1990.
Morris, Toma De Dicisiones Proteccion, Limusa.
Mott, Contrabilidad De Gestion Para Tomar Decisiones, Marcombo.
Moulin H., Axioms of Cooperative Decision-Making, Cambridge University Press, 1988.
Müller. J., (ed.), Handbook of Ecosystem Theories and Management, Lewis Publishers, 2000.
Murdick R., and B. Render, R. Russell, Service Operations Management, Allyn and Bacon, 1990.
Murty K., Linear Complementarity, Linear and Nonlinear Programming, Heldermann, 1988. A classic in these areas containing many interesting ideas such as how to compute a vertex of a LP given a feasible point.
Murty K., Linear Programming, Wiley, 1983.
Murty K.,Operations Research: Deterministic Optimization Models, Prentice Hall, 1995.
Nancy J-L., The Gravity of Thought, Humanities Press, N.J., 1997.
Nash J., and and M. Nash, Practical Forecasting for Managers, Arnold Publishers, London, 2001.
Nash S., and A. Sofer, Linear and Nonlinear Programming, McGraw-Hill, 1996.
Naylor T., and C. Thomas, (Editors), Optimization Models for Strategic Planning: Studies in Management Science and Systems, Elsevier, 1984.
Neely A., Measuring Business Performance, Economist Books, 2002.
Neely A., (ed.), Performance Measurement: Unifying Theories and Integrating Practice, Cambridge University Press, 2000.
Nelson T., The Management Science System, Irwin, 1988.
Nemhauser, G. L., A. H. G. Rinnooy Kan, and M. J. Todd (Eds.), Optimization: Handbook in Operations Research and Management Science, Volume 1, North Holland, 1989.
Nemhauser, G. L., and L. A. Wolsey, Integer and Combinatorial Optimization, Wiley, 1988.
Neumaier A., Interval Methods for Systems of Equations, Cambridge University Press, Cambridge, 1990.
Newman J. (Editor), The World of Mathematics, Simon & Schuster, 2000.
Newson M., and V. Cook, Chomsky's Universal Grammar: An Introduction, Blackwell Pub., 1996.
Ng Y., and S-F Chin, Problem Solving in a Dynamic Environment, World Scientific, 1995. OR/MS decision making modeling process deals with the complex problems by decomposing them into a list of strategic objectives, before focusing individually on each objective to plan for a tactical solution.
Nocedal J., and S. Wright, Numerical Optimization, Springer Verlag, 1999. With emphasis on practical methods, as well as the extensive illustrations and exercises.
Nonaka I., and N. Konno, The concept of "Ba": Building a foundation for knowledge creation, California Management Review, 41, Spring 1998, Special Issue on Knowledge and the Firm.
Noorderhaven N., Strategic Decision Making, Addison-Wesley, 1995.
Odanaka T., Dynamic Management Decision and Stochastic Control Processes, World Scientific, 1990.
Ogata K., System Dynamics, Prentice Hall, 1998.
Ólafsson S., Teaching mathematical modelling to business students, Annals of Operations Research, 82, 1998, 49-58
O'Leary D., Enterprise Resource Planning Systems: Systems, Life Cycle, Electronic Commerce, and Risk, Cambridge University Press, 2000.
Olivera, Estimaciones Y Decisiones, Cimusa.
Onwubolu G., Emerging Optimization Techniques in Production Planning and Control, Imperial College Press, 2002.
Ortega J., and W. Rheinboldt, Iterative Solution of Nonlinear Equations in Several Variables, SIAM Classics in Applied Mathematics, 2000.
Ossenbruggen, P., Systems Analysis for Civil Engineering, John Wiley & Sons, 1984.
Ossenbruggen, P., Fundamental Principles of Systems Analysis and Decision-Making, Wiley, 1994.
Owen G., Game Theory, Academic Press, 1982.
Owen J., Program Evaluation: Forms and Approaches, Sage Publications, 1999.
Padberg M., Linear Optimization and Extensions, Springer Verlag, 1995.
Palmer, Decision Letal Grandes Novelistas, Emece.
Panik M., Linear Programming: Mathematics, Theory and Algorithms, Kluwer Academic Publishing, 1996.
Pannekoek A., A History of Astronomy, Dover Pub., 1989. A process outlined by the author introduced a classification scheme to a system of measurement which is very interesting and instructive. For example it gives a definition of photometric magnitude for colors as: -2.5log(intensity).
Pannell D., Introduction to Practical Linear Programming, Wiley, 1996.
Paoluzzi A., Geometric Programming for Computer Aided Design, John Wiley & Sons, 2003.
Papadakis V, and P. Barwise (Ed.), Strategic Decisions, Kluwer Academic Publishers, 1998.
Papadimitriou, C. H., and K. Steiglitz, Combinatorial Optimization: Algorithms and Complexity, Prentice Hall, 1982.
Pardalos P., M. Resende, Handbook of Applied Optimization, Oxford University Press, 2002.
Pardalos P., and J. Rosen, Constrained Global Optimization: Algorithms and Applications, Lecture Notes in Computer Science, Vol 268, Springer, 1997.
Pardalos P., et al. (eds.), Combinatorial and Global Optimization, World Scientific Pub. Co., 2002.
Pardo, Decisiones Estrategicas, Diaz De Santos.
Parker R., and R. Rardin, Discrete Optimization, Academic Press, 1988. Contains among others, a section on Surrogate Duality.
Parlar M., Interactive Operations Research With Maple: Methods and Models, Birkhauser, 2000. Demonstrates the use of the computer algebra system Maple in solving OR/MS models.
Pascale, Decisiones Financieras, Macchi Ediciones.
Patrick J., SQL Fundamentals, Prentice Hall, 1999
Patriksson M., Nonlinear Programming and Variational Inequalities: A Unified Approach, Kluwer Academic Publishers, 1998.
Patz A., Strategic Decision Analysis: A General Management Framework, Little and Brown Pub., 1981
Payne J., J. Bettman, and E. Johnson, The Adaptive Decision Maker, Cambridge University Press, 1993.
Pearl J., Heuristics: Intelligent Search Strategies for Computer Problem Solving, Addison-Wesley, 1984.
Peattie K., Analytical Decision Making, Financial Times Prentice Hall, 1995.
Pelosi M., and T. Sandifer, Doing Statistics for Business: Data, Inferences, and Decision Making, Wiley, 2000.
Pentico D., Introduction to Management Science, Wadsworth Publishing Company, 2000.
Peressini A., Sullivan F., and J. Uhl Jr., The Mathematics of Nonlinear Programming, Springer-Verlag, New York, 1988.
Perez, Juste, Diagnostico Evaluacion Y Toma De Decisiones, Apuntes.
Petitti D., Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine, Oxford University Press, 2000.
Petroski H., Invention by Design: How Engineers Get from Thought to Thing, Harvard University Press, 1998.
Pfaffenberger R., and D. Walker, Mathematical Programming For Economics and Business, Iowa State University Press, 1976.
Phillips G., Two Millennia of Mathematics: From Archimedes to Gauss, Springer Verlag, 2000.
Phillips N., Network Models in Optimization & Their Applications in Practice, Wiley, 1992.
Pidd M., Tools for Thinking: Modelling in Management Science, Wiley, 1997.
Pierre D., Optimization Theory with Applications, Dover, 1986.
Pike R., Optimization for Engineering Systems, Van Nostrand Reinhold, 1986.
Pintér T., Computational Global Optimization in Nonlinear Systems: An Interactive Tutorial, Lionheart Publishing, Atlanta, 2001.
Pirlot M., and Ph. Vincke, Semiorders: Properties, Representations, and Applications, Kluwer, 1997.
Pironneau O., Applied Shape Optimization for Fluids, Numerical Mathematics & Scientific Computing, Oxford University Press, 2001.
Plane D., Management Science: A Spreadsheet Approach for Windows, Boyd & Fraser, 1996.
Pliska S., Introduction to Mathematical Finance: Discrete Time Models, Blackwell Pub, 1997.
Plous S., The Psychology of Judgment and Decision Making, McGraw-Hill, 1993.
Pokras, Como Resolver Problemas Y Tomar Decisiones Siste, Iberoamerica.
Pollock S., M. Rothkopf, and A. Barnett, (eds.), Operations Research and the Public Sector, North-Holland, 1994.
Pomerol J., and S. Barba-Romero, Multicriterion Decision in Management: Principles and Practice, Kluwer Academic Publishers, 2000.
Proctor T., Creative Problem Solving for Managers, Routledge, London, 1999.
Pungitore, Planeamiento Analisis De Sensibilidad Y Decisiones, Club De Estudio.
Pursula M., and J. Niittymaki (Eds.), Mathematical Methods on Optimization in Transportation Systems, Kluwer Academic Pub., 2001.
Robertazzi T., Computer Networks and Systems: Queueing Theory and Performance Evaluation, Springer Verlag, 2000.
Ragsdale K., Spreadsheet Modeling and Decision Analysis, South-Western, 1998.
Rahman M., Mathematical Methods With Applications, WIT Press, 2000. Mathematical modeling using differential equations.
Raiffa H., Decision Analysis: Introductory Lectures on Choices Under Uncertainty, Addison-Wesley, 1970.
Ranyard W., and Ola Svenson, (Ed.), Decision Making: Cognitive Models and Explanations, Routledge, 1997.
Rao S., Engineering Optimization: Theory and Practice, 3rd ed., Wiley, New York, 1996.
Rapoport A., Decision Theory and Decision Behaviour: Normative and Descriptive Approaches, Kluwer Academic Publishers, 1989.
Rardin, R., Optimization in Operations Research, Prentice Hall, New Jersey, 1998.
Ratschek H. and J. Rokne, New Computer Methods for Global Optimization, Ellis Horwood, Chichester, 1988.
Ravindran A., D. Phillips, and J. Solberg Operations Research: Principles and Practice, Wiley, 1987.
Ranyard W., and Ola Svenson, (Ed.), Decision Making: Cognitive Models and Explanations, Routledge, 1997.
Reeves C., and J. Rowe, Genetic Algorithms: Principles and Perspectives, Kluwer, 2002.
Reklaitis G., A. Ravindran, and K. Ragsdell, Engineering Optimization: Methods and Applications, Wiley, New York, 1983.
Render B., and R. Stair, Quantitative Analysis for Management, Sixth Edition, Prentice-Hall, 1997.
Resnik M., Choices: An Introduction to Decision Theory, University of Minnesota Press, 1987.
Reynolds V., and R. Tanner, The Social Ecology of Religion, Oxford Univ. Press, 1995.
Rheault, Teoria De Decisiones Introducc., Limusa.
Rieke R., and M. Sillars, Argumentation and Critical Decision Making, Longman Publishing Group, 1996.
Rips L, The Psychology of Proof: Deductive Reasoning in Human Thinking, MIT Press, 1994.
Rivett P., The Craft of Decision Modelling, John Wiley & Sons, 1994.
Rivett P., Construccion De Modelos Para Analisis De Decisio., Limusa.
Rockafellar R., Conjugate Duality and Optimization, SIAM, 1974.
Rockafellar R., Network Flows and Monotropic Optimization, Athena Scientific, Belmont, MA, 1998.
Rogers M., M. Bruen and L. Maystre, ELECTRE and Decision Support: Methods and Applications in Engineering and Infrastructure Investment, Kluwer Academic Publishers, 1999.
Romero C., Analisis de las Decisiones Multicriterio, Isdefe, Madrid, 1996.
Roos C., T. Terlaky, and J. Vial, Theory and Algorithms for Linear Optimization: An Interior Point Approach, Wiley, UK, 1997.
Rosen M., On Voluntary Servitude: False Consciousness and the Theory of Ideology, Harvard University Press., 1996.
Rosenhead J., Rational Analysis of a Problematic World, Wiley, 1989.
Ross Sh., Introduction to Probability Models, Academic Press, 1997
Ross Sh., An Introduction to Mathematical Finance: Options and Other Topics, Cambridge University Press, 1999.
Ross Sh., Topics in Finite and Discrete Mathematics, Cambridge University Press, 2000.
Rothwell W., The Action Learning Guidebook: A Real-Time Strategy for Problem Solving, Training Design & Employee Development, Jossey-Bass, Incorporated Publishers, 1999.
Rouse W., Essential Challenges of Strategic Management, Wiley, 2001.
Rowe W., An Anatomy of Risk, R.E. Krieger Pub. Co., 1988.
Rowland G., A Tripartite Seed: The Future Creating Capacity of Designing, Learning, and Systems, Hampton Press, 1999.
Rowley J., and P. Rowley, Operations Research: A Tool for Library Management, Chicago, American Library Association, 1981.
Roy B., Multicriteria Methodology for Decision Aiding, Kluwer, 1996.
Rubin T., Overcoming Indecisiveness: The Eight Stages of Effective Decision Making, Harper & Row, 1985.
Rubinov A., Abstract Convexity and Global Optimization, Kluwer Academic Publishers, 2000. Classical methods of nonconvex mathematical programming, being based on a local approximation, cannot be used to examine and solve many problems of global optimization, and so there is a clear need to develop special global tools for solving these problems. Some of these tools are based on abstract convexity, that is, on the representation of a function of a rather complicated nature as the upper envelope of a set of fairly simple functions.
Rubinstein R., and B. Melamed, Modern Simulation and Modeling, Wiley, 1998.
Rubio J., Control & Optimisation, Manchester University Press, 1986.
Rumbaugh J. et al., Object-Oriented Modeling and Design, Prentice-Hall,, 1991.
Russo J., and P. Schoemaker, Confident Decision Making, Piatkus, 1989.
Russo J., and P. Schoemake, Decision Traps: Ten Barriers to Brilliant Decision-Making and How to Overcome Them, Doubleday/Currency, 1989.
Rust B., and W. Burrus, Mathematical Programming and the Numerical Solution of Linear Equations, American Elsevier Pub. Co., New York, 1972.
Rustagi J., Optimization Techniques in Statistics, Boston, Academic Press, 1994.
Rustem B., Algorithms for Non-Linear Programming and Multiple Objective Decisions, Wiley, 1998.
Saaty T., Decision Making in Economic, Political, Social and Technological Environments with the Analytic Hierarchy Process, RWS Publications, 1994.
Saaty T., and L. Vargas, Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, Kluwer Academic Publishers, 2000.
Sait S., and H. Youssef, Iterative Computer Algorithms with Applications in Engineering: Solving Combiatiorial Optimization Problems, IEEE CS Press, 1999. Contains combinatorial optimization solution algorithms such including Simulated Annealing, Genetic Algorithms, Tabu Search, Simulated Evolution, and Stochastic Evolution.
Samson D., Managerial Decision Analysis, Irwin, 1988.
Sandler T., Collective Action: Theory and Applications, University of Michigan Press, 1992.
Sanitt N., Science As a Questioning Process, Inst. of Physics Pub., 1996. The author considers the connections and interplay of various scientific disciplines as well as their influencing a man and thinking about where we are and where to go.
Santas G., Goodness and Justice: Plato, Aristotle, and the Moderns, London, Blackwell Pub., 2001. It explores Plato's and Aristotle's theories about good things, goodness, and the best life for human beings, and draws comparisons between ancient and modern theories of good and justice. The comparisons with the moderns illuminate the merits and limits of ancient and modern ethical theories and place them within a broad philosophical and historical context.
Sargant W., Battle For The Mind, Heinemann, London, 1976.
Sarjoughian H., and F. Cellier (Eds.), Discrete Event Modeling and Simulation: Enabling Future Technologies, Springer Verlag, 2000.
Savage L., The Foundations of Statistics, Wiley, 1972
Savage S., INSIGHT: Business Analysis Software for Microsoft Excel, BrooksCole, 1998.
Sawyer D., Getting It Right: Avoiding the High Cost of Wrong Decisions, Lucie Press, Boca Raton, FL, 1998.
Scales L., Introduction to Non-Linear Optimization, Springer Verlag, 1985.
Schick F., Making Choices: A Recasting of Decision Theory, Cambridge Univ Pr., 1997. Psychological issues such as ambivalence, inner conflict, and the constraints imposed upon decision-maker by attachments to others, reveal that our thinking is often more subtle than standard theories of rationality allow.
Schiffman L., and L. Kanuk, Comportamiento Del Consumidor,, Prentice Hall Hispanoamericana, de Mexico, 1997.
Schittkowski K., More Test Examples for Nonlinear Programming Codes, Springer-Verlag, 1987.
Scholl A., L. Hoffmann, A. Siedenberg (Eds.), Balancing and Sequencing of Assembly Lines, Springer Verlag, 1999.
Schrage L., Optimization Modeling with LINGO, LINDO Systems, Inc., 1999
Schragenheim E., Management Dilemmas: The Theory of Constraints Approach to Problem Identification and Solutions, St. Lucie Press, 1998.
Schrijver A., Combinatorial Optimization: Polyhedra and Efficiency, Springer Verlag, 2003.
Schrijver, A., Theory of Linear and Integer Programming, Wiley, 1998.
Schrodinger E., What Is Life? The Physical Aspect of the Living Cell and Mind and Matter, Cambridge Univ. Press, 1992.
Schum D., The Evidential Foundations of Probabilistic Reasoning, Wiley, 1994.
Schütte H., (Ed.), Strategic Issues in Information Technology: International Implications for Decision Makers, Pergamon Infotech, UK, 1988.
Sciomachen A., Optimization in Industry: Mathematical Programming & Modeling Techniques in Practice, Wiley, 1996.
Seagal S., and D. Horne, Human Dynamics: A New Framework for Understanding People and Realizing the Potential in Our Organizations, Paperback, 2000. It gives you some ideas of why some mental models are different. For example, The Western Culture looks at relationships between people, while Eastern Cultures are more systemic thinkers and look at how things connect as a system.
Sen P., and J-B. Yang, Multiple Criteria Decision Support in Engineering Design, New York : Springer, 1998.
Senlle, Como Tomar Decisiones Y Solucionar Problemas, Gestion, 2000.
Sethi S., and G. Thompson, Optimal Control Theory: Applications to Management Science and Economics, Kluwer Academic Pub, 2000.
Seydel R., Tools for Computational Finance, Springer, 2002. covers tools for modeling, stochastic differential equations, and the PDE in the context of the Black-Scholes, applied to options.
Shapira Z., Organizational Decision Making, Cambridge Univ Pr., 1997. A study of organizational aspects such as conflict, incentives, power and ambiguity, on the other. It draws mainly from the tradition of Herbert Simon, who studied organizational decision making process.
Shapiro D., Como Tomar Decisiones Correctas, Grupo Editorial Norma, 2000.
Shapiro R., Optimization Models for Planning and Allocation: Text and Cases in Mathematical Programming, Wiley, 1984.
Shephard R., Applied Operations Research: Examples from Defense Assessment, Plenum Publishing Co., 1988.
Shi Y., and M. Zeleny, New Frontiers of Decision Making for the Information Technology Era, World Scientific, 2000. Provides users and developers of the IT/S with information about the advances in decision making and decision-making support that empower and enable information technology in the direction of productivity and effectiveness of decision making in business.
Shivamoggi B., Perturbation Methods for Differential Equations, Springer, 2003.
Shogan, A., Management Science, Prentice Hall, 1988.
Shoup T., Optimization Methods with Applications for Personal Computers, Prentice Hall, 1987.
Sierksma G., Linear and Integer Programming: Theory and Practice, 2nd ed., Marcel Dekker, 2002. Details the theoretical and practical aspects of the subjects including duality, optimality, sensitivity, and recent developments in these areas.
Sikorski K., Optimal Solution of Nonlinear Equations, Oxford University Press, 2001.
Simon H., Administrative Behavior: A Study of Decision-Making Processes in Administrative Organizations, Free Press Inc., 1997.
Simon H., Administrative Behavior: A Study of Decision-Making Processes in Administrative Organizations, Free Press Inc., 1997.
Simon J., Developing Decision-Making Skills for Business, M.E. Sharpe, Inc., 2000.
Sloma R., How to Measure Managerial Performance, Beard Group, 1999.
Smith D. Dynamic programming: A Practical Introduction, Ellis Horwood, London, 1991.
Smith C. Sr., Computer-supported Decision Making: Meeting the Decision Demands of Modern Organization, Alex Publishing Co., Connecticut, 1998.
Smith J., Decision Analysis: A Bayesian Approach, Chapman and Hall, 1988.
Smith, H. 30 Minutos Para Tomar La Decision Correcta, Granica.
Snell B., The Discovery of the Mind: In Greek Philosophy and Literature, Dover Pub., 1982.
Song J-Sh., and D. Yao, (eds.), Supply Chain Structures: Coordination, Information and Optimization, Kluwer, 2002. Contains the major global changes: growth of the Internet; growth in free-market economies, and the emergence of a global managerial culture focused on performance, quality, and service.
Spall J., Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control, Wiley, 2003. A unique interdisciplinary foundation for real-world problem solving, covering a broad range of today’s most widely used stochastic algorithms, including: Random search, Stochastic approximation, Genetic and evolutionary methods, Model selection, and Markov chain Monte Carlo. Information and supporting materials are available at www.jhuapl.edu/ISSO.
Spender j., and H. Kijne, Scientific Management: Frederick Winslow Taylor's gift to the world?, Kluwer Academic Publishers, 1996.
Spivey A., and and W. Thrall, Linear Optimization, Holt, Rinehart & Winston, London, (1970).
Stacey R., Managing the Unknowable, San Francisco, Jossey-Bass, 1992.
Stadler W., Multicriteria Optimization in Engineering and in the Sciences, Plenum Press, 1988.
Stahl M., and D. Grigsby, Strategic Management for Decision Making, PWS-Kent Pub. 1992.
Stampfli J., and V. Goodman, The Mathematics of Finance: Modeling and Hedging, Brooks/Cole Pub., 2001.
Stancu-Minasian I., Fractional Programming: Theory, Methods and Applications, Kluwer Academic Publishers, Translated from Romanian by V. Giurgiutiu, 1997.
Starfield A., K. Smith, and A. Bleloch, How to Model It: Problem Solving for the Computer Age, Burgess Intl. Group, 1994.
Statnikov R., Multicriteria Design: Optimization and Identification, Kluwer Academic, 1999.
Stead W., and J. Garner, Management for a Small Planet: Strategic Decision Making and the Environment, Sage Publications, 1996.
Stefanescu G., Network Algebra, Springer-Verlag, 2000. It contains general results on the algebraic theory of networks, models for parallel programs, and classical control.
Stefanovic I., Safeguarding Our Common Future: Rethinking Sustainable Development, SUNY Press, Albany, 2000.
Steiglitz K., Combinatorial Optimization: Algoritms and Complexity, Printice-Hall, 1982
Stein J., From H-bomb to Star Wars: The Politics of Strategic Decision Making, Lexington Books, 1984.
Steiner C., Scripts People Live: Transactional Analysis of Life Scripts, Grove Press, 1990.
Steiss A., Strategic Management and Organizational Decision Making, Lexington Books, 1985.
Stephens L., and G. Graham, When Self-Consciousness Breaks: Alien Voices and Inserted Thoughts, MIT Press, 2000. Examines thought insertion as example of what the authors call "alienated self-consciousness."
Sterman J., Business Dynamics: Systems Thinking and Modeling for a Complex World, Irwin Professional Pub., 2000.
Steuer, R., Multiple Criteria Optimization: Theory, Computation, and Application, Wiley, 1986.
Stevenson W., Production Operations Management, Irwin, 1999.
Stewart M., and R. Melchers, Probabilistic Risk Assessment of Engineering Systems, Chapman and Hall, 1997. Contains the risk-based decision-making in its Risk Acceptance Criteria chapter.
Strongin R., and Y. Sergeyev, Global Optimization With Non-Convex Constraints: Sequential and Parallel Algorithms, Kluwer Academic Pub, 2000.
Suarez, Decisiones Optimas De Inversion Y Financi., Piramide.
Suijs J., Cooperative Decision-Making Under Risk, Kluwer Academic, 1999.
Sultan, A., Linear Programming; An Introduction with Applications, Academic Press, 1993.
Summers M., Analyzing Operations in Business: Issues, Tools & Techniques, Greenwood Publishing Group, 1998.
Sundaram R., A First Course in Optimization Theory, Cambridge University Press, 1996.
Sun-Tzu, The Art of War, R. Sawyer (Translator), Barnes and Noble Company, 1994.
Sun-Tzu, and G. Michaelson, Sun Tzu: The Art of War for Managers, Pressmark International, 1999.
Sutherland J., Towards a Strategic Management and Decision Technology: Modern Approaches to Organizational Planning and Positioning, Kluwer Academic Publishers, 1989.
Sutherland S., Irrationality: Why We Don’t Think Straight!, Rutgers University Press, 1994.
Taha H., Operations Research: An Introduction, Prentice Hall, 2003.
Tanaka H., and P. Guo, Possibilistic Data Analysis for Operations Research, Springer-Verlag, 1999.
Tavares L., Advanced Models for Project Management, Kluwer Academic Publishers, 1999.
Targett D., Analytical Decision Making, Pitman Publishing Ltd., 1996.
Tavella D., and C. Randall, Pricing Financial Instruments: The Finite Difference Method, Wiley, 2000.
Taylor B., An Introduction to Management Science, Prentice-Hall, 2002.
Taylor F., The Principles of Scientific Management; and Shop Management, Routledge/Thoemmes Press, 1993.
Terlaky T., (Ed.), Interior Point Methods of Mathematical Programming, Kluwer Academic Publishers, 1996.
Tessina, Las 10 Decisiones De Que Toda Mujer Debe Tomar Ant, Prentice-Hall.
Testa B, et al. (eds.), Pharmacokinetic Optimization in Drug Research, Wiley, 2002.
Thagard P., Coherence in Thought and Action, MIT Press, 2001.
Thanassoulis E., Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software, Kluwer Academic Pub., UK, 2001. An good introductory text to DEA with some useful applications.
Thesen A., and L. Travis, Simulation for Decision Making, PWS Publishing Company, 1995
Thie P., An Introduction to Linear Programming and Game Theory, Wiley, 1988.
Thierauf R., Creative Computer Software for Strategic Thinking and Decision Making: A Guide for Senior Management and MIS Professionals, Quorum Books, 1993.
Thierauf R., Toma De Decisiones Por Medio De Invest Operaci., Limusa.
Thomas R., Quantitative Methods for Business Studies, Prentice-Hall, 1997.
Tomlinson R., and I. Kiss, (eds.), Rethinking the Process of Operational Research and Systems Analysis, Pergamon Press, 1984.
Thompson C. (ed.), Scientific Management: A Collection of the More Significant Articles Describing the Taylor System of Management, Routledge/Thoemmes, 1993.
Törn A. and A. Zilinskas, Global Optimization, Lecture Notes in Computer Science 350, Springer, New York, 1989
Traub J., On reality and models, in Boundaries and Barriers: On the Limits to Scientific Knowledge, J. Casti and A. Karlqvist, (eds.), Addison-Wesley, 1996, 238-251.
Triantaphyllou E., Multi-Criteria Decision Making Methods: A Comparative Study, Kluwer Academic Publishers, 2000.
Trivedi, K. S., Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd edition, John Wiley, 2001.
Tryfos P., Methods for Business Analysis and Forecasting: Text and Cases, Wiley, 1997.
Turban E., Fundamentals of Management Science, Business Publications, 1988.
Turban E., and J. Aronson, Decision Support Systems and Intelligent Systems, Prentice-Hal, 1998.
Turner R., Adaptive Reasoning for Real-world Problems: A Schema-based Approach, Lawrence Erlbaum Associates, Northvale, NJ, 1994.
Turnovsky S., Methods of Macroeconomic Dynamics, MIT Press, 2000. Good discussions on macrodynamics, rational expectations, intertemporal optimization, and continuous-time stochastic models.
Tushman M., and P. Anderson, Managing Strategic Innovation and Change, Oxford University Press, 1997.
Tversky A., and, D. Kahneman, Risk and Rationality: Can Normative and Descriptive Analysis Be Reconciled?, Institute of Philosophy & Public Policy, 1988.
Twite G. and M. O'Keeffe, New Directions in Corporate Strategy, Allen & Unwin, 2000.
Upmeyer A., Attitudes and Behavioral Decisions, Springer-Verlag, 1989.
Vanderbei, R., Linear Programming: Foundations and Extensions, Kluwer Academic Publishers, Boston, 2001.
Van Laarhoven P. and E. Aarts, Simulated Annealing: Theory and Applications, Kluwer Academic Publishers, Boston, 1987.
van Lint J., and R. Wilson, A Course in Combinatorics, Cambridge University Press, 2001.
Veney J., and A. Kaluzny, Evaluation & Decision Making for Health Services, Health Administration Press, 1998.
Vickers G., The Art of Judgment: A Study of Policy Making, Sage Publications, 1995.
Vincke Ph., Multi-criteria Decision Aid, Wiley, 1992.
Von Furstenberg G., Acting Under Uncertainty: Multidisciplinary Conceptions, Kluwer Academic Publishers, 1990.
Von Nevmann J., and O. Morgenstern, Theory of Games and Economic Behavior, Princeton University Press, 1980.
Von Winterfeldt D., and Ward Edwards, Decision Analysis and Behavioral Research, Cambridge University Press, 1986.
Vose D., Quantitative Risk Analysis: A Guide to Monte Carlo Simulation Modelling, Chichester, Wiley, 1996.
Voss S., and D. Woodruff, (eds.), Optimization Software Class Libraries, Kluwer Academic Publishers, 2002.
Vose D., Risk Analysis: A Quantitative Guide, John Wiley & Sons, 2000.
Vries M., Calculated Choices in Policy-Making: The Theory and Practice of Impact Assessment, Macmillan Press, 1999.
Vu H., and R. Esfandiari, Dynamic Systems: Modeling and Analysis, McGraw-Hill, 1997.
Wade D., Corporate Performance Management: How to Build a Better Organization Through Measurement-driven Strategic Alignment, Butterworth-Heinemann, Boston, 2001.
Wagner III, J., Bartunek, and K. Elsbach, (eds.), Advances in Qualitative Organization Research, Elsevier Science, 2002.
Wajchman, El Proceso Decisional Y Los Costos, Macchi Ediciones.
Wakker P., Additive Representations of Preferences: A new Foundation of Decision Analysis, Kluwer, 1989.
Walker R., Introduction to Mathematical Programming, Prentice Hall, 1999.
Ward L., Dynamical Cognitive Science, It makes available the analytical tools and techniques of dynamical systems science for the study of human cognition, MIT Press, 2001.
Warren S., and A. Thompson, Dumped!: A Survival Guide for the Woman Who's Been Left by the Man She Loved, Harpercollins, 1999.
Watkins D., Fundamentals of Matrix Computations, Wiley, 2002.
Watson S., and D. Buede, Decision Synthesis: The Principles and Practice of Decision Analysis, Cambridge University Press, NY, 1987.
Weber E., J. Baron, and G. Loomes (Eds.), Conflict and Tradeoffs in Decision Making, Cambridge Univ Pr., 2001. What makes some decisions easy and others difficult? Current research in judgment and decision making indicates that conflict plays a decisive role in decision making processes. This book addresses questions about the causes of conflict and its effects on Rational decision making and Emotions.
Weinberg G., An Introduction to General Systems Thinking, Dorset House, 2001.
Weiss, Guia Para La Toma De Decision, Kapelusz.
Weiss, Pb. Guia P/l Toma Decisiones, Aguilar.
West D., Introduction to Graph Theory, Prentice-Hall, 2000.
Wickham Ph., Strategic Entrepreneurship: A Decision-making Approach to New Venture Creation and Management, Pitman, 1998.
Wierzbicki A., M. Makowski, and J. Wessels, Model-Based Decision Support Methodology with Environmental Applications, Kluwer Academic Publishers, 2000.
Williams B., and G. Crotts, Man's Mathematical Models: Fundamental Concepts for the Nonmathematician, Nelson-Hall Pub., 1974.
Williams D., Weighing the Odds: A Course in Probability and Statistics, Cambridge University Press, 2001.
Williams, H. P., Model Building in Mathematical Programming, John Wiley & Sons, 1990.
Wislon B., Systems: Concepts, Methodologies and Applications, Wiley, 1992.
Williams J. and S. Haka, Financial & Managerial Accounting: A Basis for Business Decisions, McGraw-Hill, 2001.
Wilson J., and B. Keating, Business Forecasting, Irwin, 1998.
Wilson W., Simulating Ecological and Evolutionary Systems in C, Cambridge University Press, 2000.
Winston W., Financial Models Using Simulation and Optimization, Palisade Corporation, 1998.
Winston W., Introduction to Mathematical Programming: Algorithms and Applications, Duxbury Press, 1995.
Winston W., Operations Research: Applications and Algorithms, Duxbury Press, 1994.
Winston W., and Albright, Practical Management Science, Brooks/Cole Publishing Co., 2000.
Winston W., et. al., Practical Management Science: Spreadsheet Modeling and Applications, Duxbury Press, 1996.
Wisniewiski M, Linear Programming, Palgrave, Basingstoke, UK., 2001.
Wisniewski M., and J. Klein, Critical Path Analysis and Linear Programming, Palgrave, Basingstoke, UK., 2001.
Wittgenstein L., Philosophical Investigations, Prentice Hall, 1999.
Woods R., and K. Lawrence, Modeling and Simulation of Dynamic Systems, Prentice Hall, 1997.
Woodruff D. (Ed.), Network Interdiction and Stochastic Integer Programming, Kluwer, 2002.
Woodruff D. (Ed.), Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search Interfaces in Computer Science and Operations Research, Kluwer Academic Publishers, 1997.
Wright G. (Ed.), Behavioral Decision Making, Plenum Press, 1985.
Wright S., Primal-Dual Interior-Point Methods, Siam, 1997.
Wolff R., Stochastic Modeling and the Theory of Queues, Prentice Hall, 1989.
Wynants Ch., Network Synthesis Problems, Kluwer Academic Pub, 2000. Network telecommunication systems, Mathematical models, and Computer networks.
Yager R., Essentials of Fuzzy Modeling and Control, Wiley, 1994.
Yaglom A., and I. Yaglom, Challenging Mathematical Problems with Elementary Solutions: Combinatorial Analysis and Probability Theory, Dover Publications, New York, 1987.
Yammarino F, and B. Avolio, (eds.), Transformational and Charismatic Leadership: The Road Ahead, Elsevier Science, 2002.
Yang X., (editor), Optimization Methods and Applications, Kluwer Academic Publishers, 2001.
Ye Y., Interior Point Algorithms: Theory and Analysis, Wiley, 1997.
Yuan Y-X. (Ed.), Advances in Nonlinear Programming, Kluwer Academic Pub., 1998.
Zadnik-Stirn L., et. al. (Eds.), Selected Decision Support Models for Production and Public Policy, a publication (ISBN 961-6165-19-4) of the Slovene Association of Operational Research, 2005.
Zanakis S., G. Doukidis, and C. Zopounidis, (eds), Decision Making: Recent Developments and Worldwide Applications, Kluwer Academic Publishers, 2000.
Zanakis S., and J. Rustagi, (eds.), Optimization in Statistics: With a View Towards Applications in Management Science and Operations Research, North-Holland Pub. Co., New York, 1982.
Zechmeister E., and J. Johnson, Critical Thinking: A Functional Approach, Brooks/Cole Pub. Co., 1991.
Zeeleny, M., Multiple Criteria Decision Making, McGraw-Hill, New York, 1982.
Zenios Z. (Ed.), Financial Optimization, Cambridge University Press, 1993.
Zhang W-B., Capital and Knowledge: Dynamics of Economic Structures With Non-constant Returns, Springer, New York, 1999.
Zhang X-S., Neural Networks in Optimization, Kluwer Academic Pub., 2000.
Zhigljavsky A., Theory of Global Random Search, Kluwer Academic Publishers, Boston, 1991.
Zilinskas A., Global Optimization, Springer-Verlag, 1989.
Zionts S., Linear and Integer Programming, Prentice-Hall, Inc., New Jersey, 1974.
Zopounidis C., (Ed.), Operational Tools in the Management of Financial Risks, Kluwer Academic Publishers, 1997.
Zopounidis C., and M. Doumpos, Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering, Kluwer Academic Publishers, 2000.
Zopounidis C., and A. Dimitras, Multicriteria Decision Aid Methods for the Prediction of Business Failure, Kluwer Academic Publishers, 1998.
Zukav G., The Seat of the Soul, Simon & Schuster, 1999.
Zyman S., The End of Marketing As We Know It, Harper Collins, 2000. The author demonstrates why marketing is not an art but a science.
Abad P., Supplier pricing and lot sizing when demand is price sensitive, Eur. J. Operational Research, 78, 1994, 334-354.
Abbasia G., and A. Mukattashb, Crashing PERT networks using mathematical programming, International Journal of Project Management, 19, 181-188, 2001.
Abdel-Aziz M., Sensitivity analysis of the largest dependent eigenvalue functions of eigensystems, Applied Mathematics and Computation, 100, 103-110, 1999.
Abd Wahed W., A multiobjective transportation problem under fuzziness, Fuzzy sets and Systems, 117, 27-33, 2001.
Abel P., On the choice of the pivot columns of the simplex-method: Gradient criteria, Computing, 38, 13-27, 1987.
Aboudi R., and Jornstern, K., Resource constrained assignment problems, Discrete Applied Mathematics, 26, 1990, 175-191.
Aboudi R., and Nemhauser, G., Some facets for an assignment problem with side constraints, Operations Research, 39, 1991, 244-250.
Acevedo J., and N. Pistikopoulos, A hybrid parametric and stochastic programming approach for mixed-integer linear problems under uncertainty, Industrial Engineering Chemical Research, 36, 2262-2270, 1997.
Adler, I., and R. Monteiro, A geometric view of parametric linear programming, Algorithmica, 8, 161-176, 1992.
Adler I., R. Monteiro, A geometric view of parametric linear programming, Algorithmica, 8, 1992, 161-176.
Adler I., R. Karp, and R. Shamir, A family of simplex variants solving an mxd linear program in expected number of pivot steps depending on d only, Mathematics of Operations Research, 11, 570-589, 1986.
Adly S., Perturbed algorithms and sensitivity analysis for a general class of variational inclusions, Journal of Mathematical Analysis and Applications, 201, 1996, 609-630
Agarwal S., A. Mittal, and P. Sharma, Constrained optimum communication trees and sensitivity analysis, SIAM Journal on Computing, 13, 315-328, 1984.
Aggarwal C., Diagnosing infeasibilities in network flow problems, Mathematical Programming, 81, 1998, 263-280.
Aggarwal V., A Lagrangean-relaxation method for the constrained assignment problem, Comput. & Ops. Res., 12, 1985, 97-106.
Ahuja R., Magnanti T., J. Orlin, Some recent advances in network flows, SIAM REVIEW, 33, 1991, 175- 219.
Ahuja R., Mehlhorn K., Orlin J., and Tarjan R., Faster algorithms for the shortest path problem, Journal of ACM, 37, 1990, 213-223.
Ahuja R., and J. Orlin, A fast and simple algorithm for the maximum flow problem. Operations Research, 37, 1991, 748-759.
Ahuja R., and J. Orlin, The scaling network simplex algorithm, Operations Research, 40, 1992, Supplement 1, S5-S13.
Ahuja R., J. Orlin, P. Sharma, and P. Sokkalingam, A network simplex algorithm with O(n) consecutive degenerate pivots, Operations Research Letters, 30, 141-148, 2002.
Akgul M., A genuinely polynomial primal simplex algorithm for the assignment problem, Discrete Applied Mathematics, 1993, 45, 93-115.
Akgul M., A note on shadow prices in linear programming, J. of the Operational Research Society, 35, 425-431, 1984.
Akmedjanov F., and S. Chelyshev, Robust stability investigation using frequency domain technique, Reliable Computing, 2 supplement, 9-10, 1996.
Aktas E., F. Moses, and M. Ghosn, Cost and safety optimization of structural design specifications, Reliability Engineering and System Safety, 73, 205-212, 2001.
Alamir M., Sensitivity analysis in simultaneous state/parameter estimation for induction motors, International Journal of Control, 75, 753 - 758, 2002.
Alejandre J., A. Allueva, J. Gonzalez, A new algorithm for geometric programming based on the linear structure of its dual problem, Mathematical and Computer Modelling, 31, 61-78, 2000.
Ali A., Allen, P., Barr R., and J. Kennington, Reoptimization procedures for bounded variable primal simplex network algorithms, European Journal of Operational Research, 23, 1986, 256-263.
Ali A., Padman R., and R. Thiagarajan, Dual algorithms for pure network problem, Operations Research, 37, 1989, 159-171.
Almohamad H., and Duffuaa S., A linear programming approach for the weighted graph matching problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15, 522-525.
Altman E., Constrained Markov decision processes with total cost criteria: Lagrangian approach and dual linear program, Mathematical Methods of OR, 48, 1998, 387-417.
Altman E., and A. Shwartz, Sensitivity of constrained Markov decision processes, Annals of Operations Research, 32, 1991, 1-22.
Alvarez L., Optimal exit and valuation under demand uncertainty: A real options approach, European Journal of Operational Research, 114, 320-329, 1998.
Amini M., Vectorization of an auction algorithm for linear cost assignment problem, Comput. & Ind. Engng, 24, 1994, 141-149.
Amini M., Racer M., and P. Ghandforoush, Heuristic sensitivity analysis in a combinatoric environment: An exposition and case study, Eur. J. Operational Research, 108, 1998, 604-617.
Anderson B., and J. Moore, Optimal Control: Linear Quadratic Methods, Prentice Hall, 1990.
Andersen E., Finding all linearly dependent rows in large-scale linear programming, Optimization Methods and Software, 6, 219-227, 1995.
Anderson E., Nash P., and A. Philpott, A class of continuous network flow problems, Mathematics of Operations Research, 7, 501-514, 1982.
Andreatta G., F. Mason, and P. Serafini (Editors), Advanced School on Stochastics in Combinatorial Optimization, World Scientific Pub Co., 1987.
Anstreicher K., and N. Brixius, A new bound for the quadratic assignment problem based on convex quadratic programming, Mathematical Programming, 89, 359-383, 2001.
Anstreicher K., and Terlaky T., A monotonic build-up simplex algorithm for linear programming, Operations Research, 48, 1994, 556-561.
Appa G., On the uniqueness of solutions to linear programs, Journal of the Operational Research Society, 53, 1127-1132, 2002.
Armstrong R, Strongly polynomial dual simplex methods for the maximum flow problem, Mathematical Programming, 80, 17-33, 1998.
Armstrong R., and Jin Z., On solving a variation of the assignment problem, European Journal of Operational Research, 87, 142-147, 1995.
Arsham H., Construction of the largest sensitivity region for general linear programs, Applied Mathematics and Computation, 189, 1435-1447, 2007.
Arsham H., An interior pivotal solution algorithm for linear programs, Applied Mathematics and Computation, 188, 596-611, 2007.
Arsham H., A computationally stable solution algorithm for large-scale linear programs, Applied Mathematics and Computation, 188, 1549-1561, 2007.
Arsham H., Tight bounding of continuous functions over polyhedrons: A new introduction to exact global optimization, International Journal of Pure and Applied Mathematics, 19(3), 393-413, 2005.
Arsham H., Global optima for linearly constrained business decision models, Scientific Journal of Administrative Development, 2(1), 27–53, 2004.
Arsham H., Decision analysis: Making justifiable, defensible decisions, e-Quality, 12(3), 1-2, 2004.
Arsham H., Globally tight bounds for almost differentiable functions over polytopes with application to tolerance analysis, OPSEARCH: Journal of the Operational Research Society of India, 40, 305-319, 2003.
Arsham H., Stability analysis of the critical path in project activity networks, Civil Engineering and Environmental Systems, 15, 305-334, 1999.
Arsham H., Stability analysis for the shortest path problems, Journal of Congressus Numerantium, 133, 171-210, 1998.
Arsham H., A refined algebraic method for linear programs and their geometric representation, Journal of Congressus Numerantium, 102, 1996, 65-81.
Arsham H., Managing project activity-duration uncertainties, Omega, 21, 1993, 111-122.
Arsham H., A complete algorithm for linear fractional programs, International Journal of Computers & Mathematics with Applications, 20, 1990, 11-23.
Arsham H., A solution algorithm with sensitivity analysis for optimal matchings and related problems, Journal of Congressus Numerantium, 102, 1994, 193-230.
Arsham H., Affine geometric method for linear programs, Journal of Scientific Computing, 12, 1997, 289-303.
Arsham H., A tabular simplex type algorithm as a teaching aid for general LP models, International Journal of Mathematical and Computer Modelling, 12, 1989, 1051-1056.
Arsham H., LP-based solution algorithms for convex hull and related problems, Journal of Congressus Numerantium, 127, 179-191, 1997.
Arsham H., An artificial-free simplex algorithm for general LP models, International Journal of Mathematical and Computer Modelling, 25, 1997, 107-123.
Arsham H., Initialization of the simplex algorithm: An artificial-free approach, SIAM Review, 39, 1997, 736-744.
Arsham H., On the more-for-less paradoxical situations in linear programs: A parametric optimization approach, Journal of Information & Optimization Sciences, 17, 1996, 485-500.
Arsham H., Postoptimality analyses of the transportation problem, Journal of the Operational Research Society, 43, 1992, 121-139.
Arsham H., Stability of essential strategy in two-person zero-sum games, Journal of Congressus Numerantium, 110, 1995, 167-180.
Arsham H., A simplex type algorithm for general transportation problem: An alternative to stepping stone, Journal of the Operational Research Society, 40, 1989, 581-590.
Arsham H., Refined simplex algorithm for the classical transportation problem with application to parametric analysis, Journal of Mathematical and Computer Modelling, 12, 1989, 1035-1044.
Arsham H., Computational geometry and linear programs, International Journal of Mathematical Algorithms, 1, 251-266, 1999. Now under the new title: Journal of Mathematical Modelling and Algorithms.
Arsham H., Matrix inversion: A computational algebra approach, International Journal of Mathematical Education in Science & Technology, 27, 599-605, 1996.
Arsham H., A combined gradient and feasible direction pivotal solution algorithm for general LP, Revista Investigacion Operational, 19, 3-19, 1998.
Arsham H., A comprehensive simplex-like algorithm for network optimization with perturbation analysis, Optimization, 32, 1995, 211-267.
Arsham H., Perturbation analysis of general LP models: A unified approach to sensitivity, parametric tolerance, and more-for-less analysis, Mathematical and Computer Modelling, 12, 1990, 1437-1446.
Arsham H., Distribution-routes stability analysis of the transportation problem, Optimization, 43, 47-72, 1998.
Arsham H., Scheduling travelling inspectors - A modular decision support systems helps to plan laboratory accreditation visits, OR Insight, 10, 20-27, 1997.
Arsham H., Links among a linear system of equations, matrix inversion, and linear program solver routines, International Journal of Mathematical Education in Science & Technology, 29, 764-769, 1998.
Arsham H., A warm-start dual simplex solution algorithm for the minimum flow network with postoptimality analysis, International Journal of Mathematical and Computer Modelling, 27, 85-115, 1998.
Arsham H., Simplifying teaching the transportation problem, International Journal of Mathematical Education in Science & Technology, 29, 271-285, 1998.
Arsham H., Managing cost uncertainties in transportation and assignment problems, Journal of Applied Mathematics & Decision Sciences, 2, 1998, 65-102.
Arsham H., A linear symbolic-based approach to matrix inversion, Journal of Mathematics and Computers in Simulation, 35, 1993, 493-500.
Arsham H., V. Adlakha, and B. Lev, A Simplified algebraic method for system of linear inequalities with LP applications, Omega: International Journal of Management Science, 37(4), 876-882, 2009.
Arsham H., P. Baloh, T. Damij, and J. Grad, An algorithm for simplex tableau reduction with numerical comparisons, International Journal of Pure and Applied Mathematics, 4, 57-85, 2003.
Arsham H., G. Cimperman, N. Damij, T. Damij, and J. Grad, A computer implementation of the push-and-pull algorithm and its computational comparison with LP simplex method, Applied Mathematics and Computation, 170, 36-63, 2005.
Arsham H., T. Damij, and J. Grad, An algorithm for simplex tableau reduction: The push-to-pull solution strategy, Applied Mathematics and Computation 137, 525-547, 2003.
Arsham H., J. Grad, and G. Jak, Perturbed matrix inversion with application to LP simplex method, Applied Mathematics and Computation, 188, 801-807, 2007.
Arsham H., and M. Štemberger, From linear to nonlinear optimization: The missing chapter, International Journal of Mathematical Education in Science & Technology, 34, 417-430, 2003.
Arsham H., and M. Štemberger, Linearly constrained global optimization: A general solution algorithm with applications, Applied Mathematics and Computation, 134, 345-361, 2003.
Arsham H., and M. Štemberger, Continuous global optimization over polyhedrons: A new introduction to optimization, International Mathematical Journal, 1, 37-52, 2002.
Artstein Z., Sensitivity with respect to the underlying information in stochastic programs, Journal of Computational and Applied Mathematics, 56, 1994, 127-136.
Aurenhammer F., A criterion for the affine equality of cell complexes in Rd and convex polyhedra in Rd+1, Discrete Comput. Geom., 2, 1987, 49-64.
Auslander A., How to deal with the unbounded in optimization: Theory and algorithm, Mathematical Programming, 79, 3-13, 1997.
Averbakh I., Minmax regret solutions for minimax optimization problems with uncertainty, Operations Research Letters, 27, 57-65, 2000.
Averbakh I., On the complexity of a class of combinatorial optimization problems with uncertainty, Mathematical Programming, 90, 263-272, 2001.
Avis A., and F. Fukuda, A pivoting algorithm for convex hulls and vertex enumeration of arrangements and polyhedra, Discrete and Computational Geometry, 8, 1992, 295-313
Avsar Z., and M. Baykal-Guersoy, A decomposition approach for undiscounted two-person zero-sum stochastic games, Mathematical Methods of OR, 49, 483-500, 1999.
Azad A., and N. Saleem, A chance constrained approach to bank balance sheet management: A simple model with a computational example, J. Inf. Optimization Sci., 12, 1991, 363-386.
Bacciotti A., and F. Ceragioli, Stability and stabilization of discontinuous systems and nonsmooth Lyapunov functions, Control, Optimisation and Calculus of Variations, 4, 361-376, 1999.
Bacinello A., and F. Ortu, Fixed income linked life insurance policies with minimum guarantees: Pricing models and numerical results, Eur. J. Operational Research, 91, 1996, 235-249.
Bailey M., and B. Gillett, Parametric integer programming analysis: A contraction approach, Journal of the Operational Research Society, 31, 257-262, 1980.
Balakrishnan A., T. Magnanti and R. Wong, A dual-ascent procedure for large-scale uncapactitated network design, Operations Research, 37, 1989, 716-740.
Balas E., Disjunctive programming: Properties of the convex hull of feasible points, Discrete Applied Mathematics, 89, 3-44, 1999.
Balas E., Ceria S., G. Cornuejols, and N. Natraj, Gomory cuts revisited, Operations Research Letters, 1996, 19, 1-9.
Balas E., Miller D., Pekny J., and Toth P., A parallel shortest augmentation path algorithm for the assignment problem, J. of ACM, 38, 1991, 985-1004.
Balbas A. Jimenez P., and A. Heras, Duality theory and slackness conditions in multiobjective linear programming, Computers & Mathematics with Applications, 37, 101-109, 1999.
Balbás A., and P. Guerra, Sensitivity analysis for convex multiobjective programming in abstract spaces, Journal of Mathematical Analysis and Applications, 202, 1996, 645-658.
Balinski M., et al, (Ed.), Polyhedral Combinatorics: Dedicated to the Memory of D. R. Fulkerson, North Holland Pub. Co., Amsterdam, 1978.
Ball M., Derigs U., Hillbrand C., and Metz A., Matching problems with generalized upper bound side constraints, Networks, 20, 1990, 703-721.
Ball M., and Taverna R., Sensitivity analysis for the matching problem and its use in solving matching problems with a single side constraint, Annals of Operations Research, 4, 1985/86, 25-56.
Ballestero E., Stochastic goal programming: A mean-variance approach, European Journal of Operational Research, 131, 476-481, 2001.
Bank B., and R. Hansel, Stability of mixed-integer quadratic programming problems, Mathematical Programming Study, 21, 1-17, 1984.
Barany I., and S. Onn, Colourful linear programming and its relatives, Mathematics of Operations Research, 22, 1997, 550-567.
Barnes J., and Crisp JR., R., Linear programming: A survey of general purpose algorithms, IIE Transactions, 7, 1975, 212-221.
Barnett S., Stability of the solution to a linear programming problem, Operational Research Quarterly, 13, 1962, 219-228.
Barr R., Glover F., and Klingman D., The alternating basis algorithm for assignment problems, Mathematical Programming, 13, 1977, 1-13.
Barron H., and Ch. Schmidt, Sensitivity analysis of additive multiattribute value models, Operations Research, 36, 1988, 122-127.
Basak G., A. Bisi, and M. Ghosh, Stability of degenerate diffusions with state-dependent switching, Journal of Mathematical Analysis and Applications, 240, 219-248, 1999.
Battenberg H-P., and B-J. Falkowski, On saddlepoints of two-person zero-sum games with applications to data verification tests, Game Theory, 27, 1998, 561-576.
Bauer P., The circuit polytope: Facets, Mathematics of Operations Research, 22, 1997, 110-145.
Baybars I., and Kortanek K., Transmission facility planning in telecommunication networks: A heuristic approach, European Journal of Operational Research, 16, 1984, 59-83.
Bebiano N., On the dual of a result of Miranda and Thompson, Linear Algebra and Its Applications, 262, 119-129, 1998.
Belling-Seib K., An improved general phase-I in linear programming, European Journal of Operational Research, 36, 1988, 101-106.
Belling-Seib K., Mevert P., and C. Muller, Network flow problems with side constraint: A comparison of three solution methods, Computers & Operations Research, 15, 1988, 381-394.
Bennett K., and O. Mangasarian, Multicategory discrimination via linear programming, Optimization Methods and Software, 27-39, 1-3, 1994.
Ben-Tal A., and A. Nemirovski, Robust solutions of uncertain linear programs, Operations Research Letters, 25, 1999, 1-13.
Berman O., Z. Ganz, and J. Wagner, A stochastic optimization model for planning capacity expansion in a service industry under uncertain demand, Nav. Res. Logist., 41, 1994, 545-564.
Berkelaar, A. B., C. Roos, and T. Terlaky. 1997. The optimal set and optimal partition approach to linear and quadratic programming. Chapter 6 in Advances in Sensitivity Analysis and Parametric Programming, T. Gal and H. J. Greenberg, eds., Kluwer Academic Publishers.
Best M., and Caron R., The simplex method and unrestricted variables, Journal of Optimization theory and Applications, 45, 1985, 33-39.
Bhattacharya B., and Elgindy, H., A new linear convex hull algorithm for simple polygons., IEEE Trans. On Inform. Theory, 1984.
Bielecki T., and S. Pliska, Risk-sensitive dynamic asset management, Appl. Math. Optim., 39, 1999, 337-360.
Bielecki T., and L. Stettner, Ergodic control of a singularly perturbed Markov process in discrete time with general state and compact action spaces, Applied Mathematics & Optimization, 38, 1998, 261-281.
Bixby R., Implementing the simplex method: The initial Basis, ORSA Journal of Computing, 4, 1992, 267-282.
Bixby R., and W. Cunningham, Converting linear programs to network problems, Mathematics of Operations Research, 5, 321-357, 1980.
Bixby R., Gregory J., Lusting I., Marsten R., and Shanno D., Very large-scale linear programming: A case study in combining interior point and simplex methods, Operations Research, 40, 1992, 885-897.
Blair C., Representation for multiple right-hand sides, Mathematical Programming, 49, 1-5, 1990.
Blair C., Sensitivity analysis for knapsack problems: A negative result, Discrete Applied Mathematics, 81, 1998, 133-139.
Blair C., A closed-form representation of mixed-integer program value functions, Mathematical Programming, 71, 127-136, 1995.
Blair C., Integer and mixed-integer programming, Chapter 9, in Gal T. and H. Greenberg, editors, Advances in Sensitivity Analysis and Parametric Programming, Kluwer Academic Publishers, Norwell, Massachusetts, 1997.
Bland R., New finite pivoting rules for the simplex method, Mathematics of Operations Research, 2, 103-07, 1977.
Bland R., The allocation of resources by linear programming, Scientific American 244, 126-44., 1981
Bland R., D. Goldfarb, and M. Todd, The ellipsoid method: A survey, Operations Research, 29, 1039-91, 1981.
Bland R., D. Jensen, On the computational behavior of a polynomial-time network flow algorithm, Mathematical Programming, 54, 1992, 1-39.
Blanning R., A sensitivity analysis of variable-base budgeting, Management Science, 29, 1983, 65-76.
Blanning R. Sensitivity analysis in logic-based models, Decision Support Systems, 3, 1987, 343-349.
Boliac R., and D. Lozovanu, Optimal paths in network games with p players, Discrete Applied Mathematics, 99, 339-348, 1999.
Bolitineanu S., and B. Craven, Linear multicriteria sensitivity and shadow costs, Optimization, 26, 1992, 115-127.
Boljuncic U., Sensitivity analysis in the additive model of data envelopment analysis, International Journal of Systems Science, 29, 1998, 219-22.
Bonnans J., and A. Shapiro, Optimization Problems with Perturbations: A Guided Tour, SIAM Review, 40, 228-264, 1998.
Booth H., and J. Westbrook, A linear algorithm for analysis of minimum spanning and shortest-path trees of planar graphs, Algorithmica, 11, 341-352, 1994.
Borges A., and C. Antunes, A visual interactive tolerance approach to sensitivity analysis in MOLP, European Journal of Operational Research, 142, 357-381, 2002.
Borgwardt K, and P. Huhn, A lower bound on the average number of pivot-steps for solving linear programs valid for all variants of the simplex-algorithm, Mathematical Methods of OR, 49, 1999, 175-210.
Borkar V., Asynchronous stochastic approximations, SIAM Journal on Control and Optimization, 36(3), 1998.
Bosch R., and K. Antstreicher, A partial updating algorithm for linear programs with many more variables than constraints, Optimization Methods and Software, 4, 243-257, 1995.
Boyd E., Fenchel cutting planes for integer programs, Operations Research, 40, 1994, 53-64.
Brasel H., Y. Sotskov, and F. Werner, Stability of a schedule minimizing mean flow time, Mathematical Computer Modelling, 24, 39-53, 1996.
Bremner D., Incremental convex hull algorithms are not output sensitive, Discrete & Computational Geometry, 21, 57-68, 1999.
Briec W., Minimum distance to the complement of a convex set: Duality result, Journal of Optimization Theory and Applications, 3, 1997, 301-319.
Brown A., A. Gedlaman, A. Holder, and S. Martinez, An extension of the fundamental theorem of linear programming, Operations Research Letters, 30, 281-288, 2002.
Bryson N., Parametric programming and Lagrangian relation: The case of the network problem with a single side-constraint, Computers & Operations Research, 18, 1989, 130-141.
Buennagel U., B. Korte, and J. Vygen, Efficient implementation of the Goldberg-Tarjan minimum-cost flow algorithm, Optimization Methods and Software, 10, 157-174, 1998.
Burkard R., and U. Pferschy, The inverse-parametric knapsack problem, European Journal of Operational Research, 83, 376-393, 1995.
Byrne, C., and Vaserstein, L., An improved algorithm for finding saddlepoints of two-person zero-sum games, International Journal of Game Theory, 20, 1991, 149-153.
Caccetta L., and S. Hill, Branch and cut methods for network optimization, Mathematical and Computer Modelling, 33, 517-532, 2001.
Cai X., T. Kloks, and C. Wong, Time-varying shortest path problems with constraints, Networks, 29, 141-149, 1997.
Calvete H., The bilevel linear/linear fractional programming problem, European Journal of Operational Research, 114, 188-197, 1998.
Camm J., and Burwell T., Sensitivity analysis in linear programming model with common input. Decision Sciences, 22, 1991, 512-518.
Camm J., Raturi A. and S. Tsubakitani, Cutting big-M down to sizes, Interfaces, 20, 1990, 61-66.
Campelo M, and S. Scheimberg, A note on a modified simplex approach for solving bilevel linear programming problems, European Journal of Operational Research, 126, 454-458, 2000,
Campolongo F., and R. Braddock, The use of graph theory in sensitivity analysis of model output: A second order screening method, Reliability Engineering and System Safety, 64, 1-12, 1999.
Campolongo, F. and A. Saltelli, Sensitivity analysis of an environmental model: An application of different analysis methods, Reliability Engineering and System Safety, 57, 49-69, 1997.
Cao B., Transportation problems with nonlinear side constraints: A branch-and-bound approach, Zeitschrift fur Operations Research, 36, 185-197, 1992.
Cao B., and G. Uebe Solving transportation problems with nonlinear side constraints with tabu search, Computers & Operations Research, 22, 593-603, 1995.
Carosi L., On the supremum in linear fractional programming with respect to any closed unbounded feasible set, Journal of Interdisciplinary Mathematics, 4, 61-71, 2001.
Carstensen P., Complexity of some parametric integer and network programming problems, Mathematical Programming, 26, 1983, 64-75.
Casado L., I. Garcia, and T. Csendes, A new multisection technique in interval methods for global optimization, Computing, 65, 263-269, 2000.
Cattrysse D. and Van Wassenhove L., A survey of algorithms for the generalized assignment problem, Europ. J. Oper. Res., 60, 1992, 260-272.
Cavazos-Cadena R., and R. Montes-de-Oca, Nearly optimal policies in risk-sensitive positive dynamic programming on discrete spaces, Mathematical Methods of OR, 52, 133-167, 2000.
Cegielski A., Geometrically convergent projection method in matrix games, Journal of Optimization Theory and Applications, 85, 249-264, 1995.
Cerulli R., R. De Leone and G. Piacente, A modified auction algorithm for the shortest path problem, Optimization Methods and Software, 4, 1994, 209-224.
Chaderjian B., and T. Gao, Comments on ''An efficient search direction for linear programming problems'' by H. Luh and R. Tsaih, Computers and Operations Research, 30, 1255-1258, 2003.
Chakravarti N., Calculation of stability radii for combinatorial optimization problems, Operations Research Letters, 23, 1-7, 1999.
Chan T., Output-sensitive results on convex hulls, extreme points, and related problems, Discrete & Computational Geometry, 16, 1997, 369-387.
Chan J.-T., Stabilization of discrete system zeros: An improved design, International Journal of Control, 75, 759 - 765, 2002.
Chanas S., On the equivalence of two optimization methods for fuzzy linear programming problems, European Journal of Operational Research, 121, 56-63, 1999.
Chanas S., and D. Kuchta, An algorithm for solving bicriterial linear programming problems with parametrical coefficients in the objective functions, Annals of Operations Research, 81, 1998, 63-72.
Chandrasekaran S., and I. Ipsen, On the sensitivity of solution components in linear systems of equations, SIAM J. Matrix. Anal. Appl., 16, 93-112, 1995.
Charnes A., S. Duffuaa, and M. Ryan, Degeneracy and the more-for-less paradox, Journal of Information & Optimization Sciences, 1, 1980, 52-56.
Charnes A., W. Cooper, and B. Mellon, A model for programming and sensitivity analysis in an integrated oil company, Econometrica, 24, 1954, 193-217.
Charnes A., S. Haag, P. Jaska, and J. Semple, Sensitivity of efficiency classifications in the additive model of data envelopment analysis, OMEGA: International Journal of Systems Science, 23, 1992, 789-98.
Charnes A., Harnes S., Duffuaa S., M. Ryan, The more-for-less paradox in linear programming, European Journal of Operational Research, 31, 1987, 194-197.
Charnes A., and L. Neralic, Sensitivity analysis of the additive model in data envelopment analysis, European Journal of Operational Research, 48, 1990, 332-41.
Charnes A., J. Rousseau, W. Cooper, A. Lewin, and R. Morey, Sensitivity and stability analysis in DEA, Annals of Operations Research, 2, 1985, 139-156.
Chen F., and Y-Sh. Zheng, Sensitivity analysis of an (s,S) inventory model, Operations Research Letters, 21, 1997, 19-23.
Chen H., Pardalos P., and Saunder M., The simplex algorithm with a new primal and dual pivot rule, Operations Research Letters, 16, 1994, 121-127.
Chen X., and M. Fukushima, Proximal quasi-Newton methods for nondifferentiable convex optimization, Mathematical Programming, 85A, 313-334, 1999.
Chen Y-Y, Hirota K., and Yen J-Y, (Editors), Soft Computing in Intelligent Systems and Information Processing, Proceeding of the 1996 Asian Fuzzy Systems Symposium, 1996.
Chen Z., and Powell W., A note on Bertsekas' small-label-first strategy, Networks, 29, 1997, 111-116.
Chenery S., and S. Walsh, Process controllability analysis using linear programming, Journal of Process Control, 8, 1998, 165-174.
Cheng M., Generalized theorems for permanent basic and nonbasic variables, Mathematical Programming, 31, 1985, 229-234.
Chern M., R. Jan, and R. Chern, Parametric nonlinear integer programming: The right-hand side case, European Journal of Operational Research, 54, 237-255, 1991.
Chin F., and D. Houck, Algorithms for updating minimal spanning trees, Journal of Computer and Systems Sciences, 16, 333-344, 1978.
Chinneck J., Discovering the characteristics of mathematical programs via sampling, Optimization Methods and Software, 17, 319 - 352, 2002.
Chinneck J., Analyzing infeasible nonlinear programs, Computational Optimization and Applications, 4, 1995, 167-179.
Chinneck J., and E. Dravnieks, Locating minimal infeasible constraint sets in linear programs, ORSA Journal on Computing, 3, 157-168, 1991.
Cho G., Stability of equivalent programming problems of the multiple objective linear stochastic programming problems, J. Korean Math. Soc., 35, 259-268, 1998.
Cho G., and C. Meyer, Comparison of perturbation bounds for the stationary distribution of a Markov chain, Linear Algebra and its Applications, 335, 137-150, 2001.
Choi J., On the stabilization of linear discrete time systems subject to input saturation, Systems & Control Letters, 36, 241-244, 1999.
Clarkson K., Las Vegas algorithm for linear and integer programming when the dimension is small, Journal of association for Computer Machinery, 42, 488-499, 1995
Clemson B., Y. Tang, J. Pyne, and R. Unal, Efficient methods for sensitivity analysis, System Dynamics Review, 11, 1995, 31-49.
Cook W., A. Gerards, A. Schrijver, E. Tardos, Sensitivity theorems in integer linear programming, Mathematical Programming, 34, 251-264, 1986.
Cooper M., Postoptimality analysis in non-linear integer programming, Naval Research Logistics Quarterly, 28, 301-307, 1981.
Cooper M., and Kennington J., Non-extreme point solution strategies for linear programs, Naval Research Logistics Quarterly, 26, 1979, 447-461.
Corradi G., Higher-order derivatives in linear and quadratic programming, Computers and Operations Research, 28, 209-222, 2000.
Coxson G., Computing exact bounds on elements of an inverse interval matrix is NP-hard, Reliable Computing, 5, 137-142, 1999.
Crama Y., and Spiekma F., Approximation algorithms for three-dimensional assignment problems with triangle inequalities, European Journal of Operational Research, 60, 1992, 273-279.
Craven B., Fractional Programming, Heldermann, Berlin, 1988.
Craven B., On sensitivity analysis for multicriteria optimization, Optimization, 19, 1988, 513-523.
Crema A., An algorithm to perform a complete right-hand-side parametrical analysis for a 0-1 integer linear programming problem, European Journal of Operational Research, 114, 569-579, 1999.
Crema A., An algorithm for the multiparametric 0-1 integer linear programming problem relative to the constraint matrix, Operations Research Letters, 27, 13-19, 2000.
Crema A., A contraction algorithm for the multiparametric integer linear programming problem, European Journal of Operational Research, 101, 130-139, 1997.
Crema A., Average shadow price in a mixed integer linear programming problem, European Journal of Operational Research, 85, 625-635, 1995.
Crema A., An algorithm to perform a complete parametric analysis relative to the constraint matrix for a 0-1-integer linear program, European Journal of Operational Research, 138, 484-494, 2002.
Crema A., The multiparametric 0--1-integer linear programming problem: A unified approach, European Journal of Operational Research, 139, 511-520, 2002.
Curet N., Implementation of a steepest-edge primal - dual simplex method for network linear programs, Annals of Operations Research, 81, 251-270, 1998.
Dafermos S., Sensitivity analysis in variational inequalities, Mathematics of Operations Research, 13, 1988, 421-434.
Daneshvar S., et al., Sensitivity analysis of extreme efficient decision making in EDA, Journal of Interdisciplinary Mathematics, 6, 195-201, 2003.
Dantzig G., Making progress during a stall in the simplex algorithm, Linear Algebra and Its Applications, 114, 1989, 251-259.
Dantzig G., and G. Infanger, Multi-stage stochastic linear programs for portfolio optimization., Ann. Oper. Res., 45, 1993, 59-76.
Darlington J., and B. Rustem, Decreasing the sensitivity of open-loop optimal solutions in decision making under uncertainty, European Journal of Operational Research, 121, 343-362, 1999.
Dasgupta D., and Michalewicz Z., (Editors), Evolutionary Algorithms in Engineering Applications, Springer, 1997.
D'Aspremont D., Gabszewic J., and J. Thisse, On Hotelling's stability in competition, Econometrica, 47, 1145-1150, 1979.
De Berg M., M. van Kreveld, M. Overmars, and O. Schwarzkopf, Computational Geometry: Algorithms and Applications, Springer, Berlin, 2000.
De Kort J., Sensitivity analysis for symmetric 2-peripatetic salesman problems, Operations Research Letters, 13, 79-84, 1993.
Desai A., T. Gulledge, K. Haynes, H. Shroff, and J. Storbeck, A DEA approach to siting decision sensitivity, Regional Science Review, 18, 1991, 71-80.
Desai A., J. Storbeck, K. Haynes, H. Shroff HF, and Xiao Yan, Extending multiple objective programming for siting decision sensitivity, Modelling & Simulation, 22, 1990, 153-158.
Desaint F., and J-P. Zolésio, Manifold derivative in the Laplace-Beltrami equation, Journal of Functional Analysis, 151, 1997, 234-269
De Sousa J., Setting the length of the planning horizon in the vehicle replacement problem, Eur. J. Operatinal Research, 101, 1997, 550-559.
Díaz J., J. Hernández, and L. Tello, On the multiplicity of equilibrium solutions to a nonlinear diffusion equation on a manifold arising in climatology, Journal of Mathematical Analysis and Applications, 216, 1997, 593-613
Di Battista G., R. Tamassia, and L. Vismara, Output-sensitive reporting of disjoint paths, Algorithmica, 23, 302-340, 1999.
Dinescu C., and B. Savulescu, Sensitivity and parametric analysis of maximum flow in a network, Optimization, 15, 1984, 263-273.
Ding J., Perturbation bounds for least squares problems with equality constraints, Journal of Mathematical Analysis and Applications, 229, 631-638, 1999.
Dixon B., M. Rauch, and R. Tarjan, Verification and sensitivity analysis of minimum spanning trees in linear time, SIAM Journal on Computing, 21, 1184-1192, 1992.
Dobronets B., and E. Roshchina, Applications of interval sensitivity analysis, Journal of Computational Technologies, 7, 75-82, 2002.
Domokos A., Solution sensitivity of variational inequalities, Journal of Mathematical Analysis and Applications, 230, 382-389, 1999.
Dontchev A., Implicit function theorems for generalized equations, Mathematical Programming, 70, 1995, 91-106.
Draper D., A. Pereira, P. Prado, A. Saltelli, A. Cheal, S. Eguilior, B. Mendes, and S. Tarantola, Scenario and parametric uncertainty in GESAMAC: A case study in Nuclear waste disposal risk assessment, Computer Physics Communications, 117, 142-155, 1999.
Drezner Z., Compounded genetic algorithms for the quadratic assignment problem, Operations Research Letters, 33, 475-480, 2005.
Drezner Z., Sensitivity Analysis of The Optimal Location of a Facility, Naval Research Logistics Quarterly, 32, 209-224, 1985.
Duffuaa S., A stochastic programming model for scheduling maintenance personnel, Applied Mathematical Modelling, 23, 1999, 385-397.
Dula J., Equivalences between data envelopment analysis and the theory of redundancy in linear systems, Eur. J. Operatinal Research, 101, 1997, 51-64.
Dula J., and R. Helgason, A new procedure for identifying the frame of the convex hull of a finite collection of points in multidimensional space, European Journal of Operational Research, 92, 1996, 352-368.
Dumitrescu A., and W. Steiger, On a matching problem in the plane, Discrete Mathematics, 211, 183-195, 2000.
Dupacova J., Stochastic programming with incomplete information: A survey of results on postoptimization and sensitivity analysis, Optimization, 18, 1987, 507-532.
Dupacova J., Stability and sensitivity analysis for stochastic programming, Annals of Operations Research, 27, 1990, 115-142.
Eagle,T., Parameter Stability in Disaggregate Retail Choice Models: Experimental Evidence, Journal of Retailing, 60, 101-23, 1984.
Easton A., and D. Rossin, Stochastic goal program for employee scheduling, Decision Sciences, 27, 541-568, 1996.
Ebiefung A., New perturbation results for solving the linear complementarity problem with Po-matrices, Applied Mathematics Letters, 11, 1998, 37-39.
Eiselt H., and Sandblom C., Experiments with external pivoting, Computers and Operations Research, 17, 1990, 325-332.
Ekel P., Approach to decision making in fuzzy environment, Computers & Mathematics with Applications, 37, 59-71, 1999.
El Azouzi R., M. Abbad, and E. Altman, Perturbation of linear quadratic systems with jump parameters and hybrid controls, Mathematical Methods of OR, 51, 399-417, 2000.
El Ghaoui L., Oustry F., and H. Lebret, Robust solutions to uncertain semidefinite programs, SIAM J. Optim., 9, 33-52, 1999.
El-Hady Kassem M., Interactive stability of vector optimization problems, European Journal of Operational Research, 134, 616-622, 2001.
El Hafsi M., and S. Bai, Multiperiod production planning with demand and cost fluctuation, Mathematical and Computer Modelling, 28, 103-119, 1998.
Elimam A., Two engineering applications of a constrained shortest-path model, European Journal of Operational Research, 103, 1998, 426-438.
Elmaghraby S., On criticality and sensitivity in activity networks, European Journal of Operational Research, 127, 220-238, 2000.
Elsayed E., and M. Ettouney, Perturbation analysis of linear programming problems with random parameters, Computers and Operations Research, 21, 211-224, 1994.
El-Sayed S., The modified decomposition method for solving nonlinear algebraic equations, Applied Mathematics and Computation, 132, 589-597, 2002.
Elwany M., and A. El Baddan, The sensitivity of jobshop due date lead time to changes in the processing time, Computers & Industrial Engineering, 35, 411-414, 1998.
Eriksson K., Stable matching in a common generalization of the marriage and assignment models, Discrete Mathematics, 217, 135-156, 2000.
Evans J., and N. Baker, Degeneracy and the (mis)interpretation of sensitivity analysis in linear programming, Decision Sciences, 13, 348-354, 1982.
Evans J., and N. Baker, Reply to 'On ranging cost coefficients in dual degenerate linear programming problems, Decision Sciences, 14, 442-443, 1983.
Facchinei F., Fischer A., and Ch. Kanzow, On the accurate identification of active constraints, SIAM J. Optim., 9, 14-32, 1999.
Faigle U., Kern W., and W. Nawijn, A greedy on-line algorithm for the k-track assignment problem, Journal of Algorithms, 31, 196-210, 1999.
Fang S-C., C. Hu, H. Wang, a,d S. Wu, Linear programming with fuzzy coefficients in constraints, Computers & Mathematics with Applications, 37, 63-76, 1999.
Feiring B., T. Sastri, and L. Simstri, A stochastic programming model for water resource planning, Mathematical and Computer Modelling, 27, 1-7, 1998.
Fernández F., Puerto J., and L. Monroy, Two-person non-zero-sum games as multicriteria goal game, Annals of Operations Research, 84, 1998, 195-208.
Fernández J., and Pelegrin B., Algorithms for the decomposition of a polygon into convex polygons, European Journal of Operational Research, 121, 330-342, 1999.
Filippi C., A fresh view on the tolerance approach to sensitivity analysis in linear programming, European Journal of Operational Research, 167, 1-19, 2005.
Filippi C., and G. Romanin-Jacur, Multiparametric demand transportation problem, European Journal of Operational Research, 139, 206-219, 2002.
Filar J., H. Krieger, and Z. Syed, Cesaro limits of analytically perturbed stochastic matrices, Linear Algebra and its Applications, 353, 227-243, 2002.
Fisher D., Two person zero sum games and fractional graph parameters, Journal of Congressus Numeratium, 85, 1991, 1-14.
Flippo O., and B. Jansen, Duality and sensitivity in nonconvex quadratic optimization over an ellipsoid, Eur. J. Operational Research, 94, 1996, 167-178.
Florian M., and D. Lebeuf, An efficient implementation of the network simplex method, in Network Optimization, Lecture Notes in Economics and Mathematical Systems, Springer, Vol. 450, 263-291, 1997.
Forrest J, and Goldfarb D., Steepest-edge simplex algorithm for linear programming, Mathematical Programming, 57, 1992, 341-374
Forrest J., and Tomlin J., Updating triangular factors of the basis to maintain sparsity in the product form simplex method. Mathematical Programming, 2, 1972, 263-278.
Foulds L., and J. Wilson, On an assignment problem with side constraints, Computers and Industrial Engineering, 37, 847-858, 1999.
Freund R., A potential-function reduction algorithm for solving a linear program directly from an infeasible "warm start", Mathematical Programming, 52, 1991, 441-466.
Freund R., and F. Jarre, A sensitivity result for (linear) semidefinite programs, Operations Research Letters, 32, 126-132, 2004.
Friesz T., R. Tobin, H. Cho, and N. Mehta, Sensitivity analysis based heuristic algorithms for mathematical programs with variational inequality constraints, Mathematical Programming, 48, 265-284, 1990.
Gabasov R. and A. Lubochkin, Stabilization of linear dynamical systems by optimal controls of linear quadratic problems, Journal of Applied Mathematics and Mechanics, 62, 519-527, 1998.
Gal T., An updated survey on degeneracy in mathematical programming and degeneracy graphs: A survey with new results, Operational Research '90, Pergamon Press, Oxford, UK., 1991, 689-701.
Gal T., Shadow prices and sensitivity analysis in linear programming under degeneracy: State-of-the-art-survey, OR Spektrum, 8, 1986, 59-71.
Gal T., Weakly redundant constraints and their impact on postoptimality analyses in LP, Europ. J. Oper. Res., 60, 1992, 315-326.
Galperin E., Linear time algorithms for linear programming, Computers & Mathematics with Applications, 37, 199-208, 1999.
Garvish B., Schweitzer P., and E. Shlifer, The zero pivot phenomenon in transportation and assignment problems and its computational implications, Mathematical Programming, 13, 1977, 226-240
Gass S., On solving the transportation problem, Journal of the Operational Research Society, 41, 291-297, 1990.
Gass S., and S. Vinjamuri, Cycling in linear programming problems, Computers & Operations Research, 31, 303-311, 2004.
Gaudry M., Jara-Diaz, R. Sergio and J. De Dios Ortuzar, Value of time sensitivity to model specification, Transportation Research B: Methodology, 23B, 1989, 151-158.
Gautier A., and F. Granot, A parametric analysis of a nonlinear asset allocation management model, Operations Research Letters, 11, 1992, 273-279.
Gautier A., and F. Granot, A parametric analysis of a constrained nonlinear inventory-production model, Management Science, 40, 1994, 1500-1513.
Gautier A., and F. Granot, Ripples, complements and substitutes in generalized networks, Naval Research Logistics, 43, 1996, 1-21.
Gen M., Cheng R., and Wang D., Genetic algorithms for solving shortest path problems, Proceedings of 1997 IEEE International Conference on Evolutionary Computation, 1997, 401-406.
Gen M., K. Ida, and R Kobuchi, Neural network technique for fuzzy multiobjective linear programming, Computers & Industrial Engineering, 35, 543-546, 1998.
Geoffrion A., and R. Nauss, Parametric and postoptimality analysis in integer linear programming, Management Science, 23, 453-466, 1977, 64-74.
Gertsbakh I., and Kh. Kordonsky, Choice of the best time scale for preventive maintenance in heterogeneous environments, Eur. J. Operational Research, 98, 1997,
Ghosh M., and A. Bagchi, Stochastic games with average payoff criterion, Applied Mathematics & Optimization, 38, 1998, 283-301.
Gil' M., Perturbations of simple eigenvectors of linear operators, Manuscripta Mathematica, 100, 213-219, 1999.
Gill P., Murray W., Saunders M., and M. Wright, A practical anti-cycling procedure for linear constrained optimization, Mathematical Programming, 45, 1989, 437-474.
Gillett B., Introduction to Operations Research A Computer-Oriented Algorithmic Approach, McGraw- Hill, N.W. York, 1976.
Glazebrook K., Sensitivity analysis for stochastic scheduling problems, Mathematics of Operations Research, 12, 1987, 205-223.
Glazebrook K., and J. Nińo-Mora, A linear programming approach to stability, optimisation and performance analysis for Markovian multiclass queueing networks, Annals of Operations Research, 92, 1-18, 1999.
Goberna M., and M. López p, On duality in semi-infinite programming and existence theorems for linear inequalities, Journal of Mathematical Analysis and Applications, 230, 173-192, 1999.
Goldberg A., and Kennedy R., An efficient cost scaling algorithm for the assignment problem, Mathematical Programming, 1995, 71, 153-177.
Golden R., and T. Magnanti, Deterministic network optimization: A bibliography, Networks, 7, 1977, 149-183.
Goldfarb D., and Hao J., Anti-stalling pivot rules for the network simplex algorithm, Networks, 20, 1990, 79-91.
Goldfarb D., and J. Reid, A practicable steepest-edge simplex algorithm, Mathematical Programming, 12, 1977, 361- 371.
Golud G., and J. Reid, New crash procedures for large systems of linear constraints, Mathematical Programming, 45, 1989, 475-501.
Gondzio J. and A. Ruszczynski, Sensitivity method for basis inverse representation in multistage stochastic linear programming problems, J. Optimization Theory Appl., 74, 1992, 221-242.
Gong L., Measuring production with random inputs and outputs using DEA and certainty equivalent, Eur. J. Operational Research, 111, 1998, 62-74.
Granot F., and A. Veinott Jr., Complements and ripples in network flows, Mathematics of Operations Research, 10, 471-497, 1985.
Greenberg H., Simultaneous primal-dual right-hand-side sensitivity analysis from a strictly complementary solution of a linear program, SIAM Journal of Optimization, 10, 427-442, 2000.
Greenberg H., How to analyze results of linear programs, Part 4: Forcing substructures, Interface, 24, 1994, 121-130.
Greenberg H., How to analyze results of linear programs, Part 3: Infeasibility diagnosis, Interfaces, 23, 1993, 120-139.
Greenberg H., How to analyze results of linear programs, Part 2: Price interpretation, Interfaces, 23, 1993, 97-114.
Greenberg H., How to analyze results of linear programs, Part 1: Preliminaries, Interfaces, 23, 1993, 56-67.
Greenberg H., The use of branching in dynamic programming for parametric analysis, Operations Research, 15, 976-977, 1968.
Greenberg H., The use of the optimal partition in a linear programming solution for postoptimal analysis, Operations Research Letters, 15, 179-186, 1994.
Greenberg H., Rim sensitivity analysis from an interior solution, to appear in SIAM Journal of Optimization.
Greenberg H., An analysis of degeneracy, Naval Research Logistics Quarterly, 33, 1986, 635-655.
Greenberg H., A. Holder, C. Roos, and T. Terlaky, On the dimension of the set of rim perturbations for optimal partition invariance, SIAM Journal of Optimization, 9, 1998, 207-216.
Grob J., Explicit solutions to the matrix inverse problem AX=B, Linear Algebra and Its Applications, 289, 131-134, 1999.
Growe N., Estimated stochastic programs with chance constraints, European Journal of Operational Research, 101, 1997, 285-305
Guan S., and Sh-Ch. Fang, A global-filtering algorithm for linear programming problems with stochastic elements, Mathematical Methods of OR, 48, 1998, 287-316.
Guenluek O., A branch-and-cut algorithm for capacitated network design problems, Math. Program, 86, 1999, 17-39.
Gulati T., Second order symmetric duality for nonlinear minimax mixed integer programs, Eur. J. Operatinal Research, 101, 1997, 122-129.
Gumusoglu S., and H. Tutek, An analysis method in project management using primal-dual relationships, International Journal of Project Management, 16, 1988, 321-327.
Gupta A., and M. Puri, More (same)-for-less paradox in minimal cost network flow problem, Optimization, 1995, 33, 167-177.
Gupta A., S. Khana, and M. Puri, A paradox in linear fractional transportation problem with mixed constraints, Optimization, 1993, 27, 375-387.
Gupta A., S. Khana, and M. Puri, Paradoxical situation in transportation problem, Cahiers de Centre d'Etudes de Recherche Operationnell, 1992, 34, 37-49.
Gupta A., and Puri M., More (same)-for-less paradox in minimal cost network flow problem, Optimization, 33, 167-177, 1995.
Gusfield D., A note on arc tolerances in sparse shortest-path and network flow problems, Networks, 13, 191-196, 1983.
Gzyl H., A. Tagliani, and Y. Velasquez, A comparative study of some reconstruction methods for linear inverse problems, Mathematical and Computer Modelling, 30, 159-167, 1999.
Hager W., and S. Gowda, Stability in the presence of degeneracy and error estimation, Mathematical Programming, 85, 181-192, 1999.
Hale J., L. Peletier, and W. Troy, Stability and instability in the Gray-Scott model: the case of equal diffusivities, Applied Mathematics Letters, 12, 59-65, 1999.
Hardaker J., S. Pandey, and L. Patten, Farm planning under uncertainty: A review of alternative programming models, Review of Marketing and Agricultural Economics, 59, 1991, 9-22.
Har-Peled S., An output sensitive algorithm for discrete convex hulls, Computational Geometry, 10, 1998, 125-138.
Harris P., Pivot selection methods of the Devex LP code. Mathematical Programming, 5, 1973, 1-28.
Hartel P., and Glaser H., The resource constrained shortest path problem implemented in a lazy functional language, Journal of Functional Programming, 6, 1996, 29-45.
Hassan M., Network reduction for the acyclic constrained shortest path problem, European Journal of Operational Research, 63, 1992, 124-129.
Hattersley B., and Mackley L., Construction of LU factors of the basis to reduce build-up during simplex iterations, Journal of operational Research Society, 43, 1992, 507-518.
Hattersley B. and Wilson J., A dual approach to primal degeneracy, Mathematical Programming, 42, 1988, 135-145.
Haurie A., A. Leizarowitz A., and Delft Ch. van, Boundedly optimal control of piecewise deterministic systems, Eur. J. Operational Research, 73, 1994, 237-251.
Haus U-U., M. Koeppe, and R. Weismantel, The integral basis method for integer programming, Mathematical Methods of OR, 53, 353-361, 2001.
Hefner A., Min-max theorem for a constrained matching problem, SIAM Journal on Discrete Mathematics, 1997, 10, 180-189.
Heide F., and B. Vöcking, Shortest-path routing in arbitrary networks, Journal of Algorithms, 31, 105-131, 1999.
Heisig G., Planning stability under (s,S) inventory control rules, OR Spektrum, 20, 1998, 215-228.
Henrion R, and W. Romisch, Metric regularity and quantitative stability in stochastic programs with probabilistic constraints, Mathematical Programming, 84, 1990, 55-88.
Herroelen W., B. De Reyck, and E. Demeulemeester, Resource-constrained project scheduling a survey of recent developments, Computers and Operation Research, 25, 1998, 279-302.
Hibiki N., and T. Sueyoshi, DEA sensitivity analysis by changing a reference set: Regional contribution to Japanese industrial development, Omega, 27, 139-153, 1999.
Hilberdink T., An integral formula for Taylor coefficients of a class of analytic functions, Journal of Mathematical Analysis and Applications, 233, 1999, 266-275,
Hildebrandt L., and U. Wagner, Marketing and operations research: A literature survey, OR Spektrum, 22, 5-18, 2000.
Hodgson M., Stability of solutions to the p-median problem under induced data error, INFOR, 29, 167-183, 1991.
Hoffman A., The role of unimodularity in applying linear inequalities to combinatorial theorems, Annals of Discrete Mathematics, 4, 1979, 73-84.
Hoffman H., and W. Jacobs, Smooth patterns of production, Management Science, 1, 1954, 86-91.
Holm S., The existence of dual prices for the linear integer programming problem, Optimization Methods and Software, 3, 1994, 215-224.
Holm S., and D. Klein, Three methods for postoptimal analysis in integer linear programming, Mathematical Programming Study, 21, 97-109, 1984.
Hosten S., and R. Thomas, Gomory integer programs, Math. Program., Ser. B, 96, 271-292, 2003. Integer programs with a fixed coefficient matrix and cost vector but varying right hand sides.
Hsieh A., Ho C., and Fan K., An extension of the bipartite weighted matching problem, Pattern Recognition Letters, 1995, 16, 347-351.
Hu, H., Perturbation analysis of global error bounds for systems of linear inequalities, Math. Program., 88, 277-284, 2000.
Hu X., and D. Ralph, A note on sensitivity of value functions of mathematical programs with complementarity constraints, Math. Program, 93, 265-279, 2002.
Huang C., and Wang H., Multi-parametric analysis of maximum tolerance in a linear programming problem. Europ. J. Oper. Res., 67, 1993, 75-87.
Huang X., Stability in vector-valued and set-valued optimization, Mathematical Methods of OR, 52, 185-193, 2000.
Huisman K., and . Kort, Strategic technology investment under uncertainty, OR Spectrum, 24, 79-98, 2002.
Ibidapo-Obe O., O. Asaolu, and A. Badiru, A new method for the numerical solution of simultaneous nonlinear equations, Applied Mathematics and Computation, 125, 133-140, 2002.
Illés T., and T. Terlaky, Pivot versus interior point methods: Pros and cons, European Journal of Operational Research, 140, 170-190, 2002.
Ipsen I., and C. Meyer, Uniform stability of Markov chains, SIAM J. Matrix. Anal. Appl., 15, 1061-1074, 1994.
Irwin C., and V. Komkov, Sensitivity analysis and model optimization for reaction-diffusion systems, J. Opt. Theor. Appl., 44, 569-584, 1984.
Ivanchev D., Sensitivity analysis of network optimization problems, Yugoslav Journal of Operations Research, 5, 1995, 95-109.
Jammalamadaka S., Changes in the general linear model: A unified approach, Linear Algebra and Its Applications, 289, 225-242, 1999.
Jansen B., Sensitivity analysis in linear programming: just be careful!, Eur. J. Operatinal Research, 101, 1997, 15-28.
Jarvis J., and Shier D., Netsolver: Interactive software for network optimization. Operations Research Letters, 9, 1990, 275-282.
Jenkins L., Parametric mixed integer programming: An application to solid waste management, Management Science, 28, 1270-1284, 1982.
Jenkins L., Parametric methods in integer linear programming, Annals of Operations Research, 27, 77-96, 1990.
Jime'nez F., Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach, European Journal of Operational Research, 113, 688-715, 1998.
Jiménez F., and J. Verdegay, An evolutionary algorithm for interval solid transportation problems, Evolutionary Computation, 7, 103-107, 1999.
Johnson D., J. Lenstra, and A. Rinnooy Kan, The complexity of the network design problem, Networks, 8, 1978, 279-285.
Johnson K., Bauer K., Moore J., and Grant M., Metamodelling techniques in dimensional optimality analysis for linear programming, Mathematical and Computer Modelling, 23, 45-60, 1996.
Jongen H., D. Klatte, and K. Tammer, Implicit functions and sensitivity of stationary points, Mathematical Programming: Series A, 49, 1990, 123-138.
Junior H., and Lins, An improved initial basis for the simplex algorithm, Computers & Operations Research, 32, 1983-1993, 2005.
Kalantari B., On linear programming and matrix scaling over the algebraic numbers, Linear Algebra and Its Applications, 262, 283-306, 1998.
Kallio M, and Prrteus E., A class of methods for linear programming, Mathematical Programming, 14, 1978, 161-169.
Kallio M, and S. Salo, An interior point method for solving systems of linear equations and inequalities, Operations Research Letters, 27, 101-107, 2000.
Kankova V., On the stability in stochastic programming: The case of individual probability constraints, Sybernetika, 33, 1997, 525-546
Karp R., Kan A., Rinnooy H., and Vohra, R., Average case analysis of a heuristic for the assignment problem, Mathematics of Operations Research, 1994, 19, 513-522.
Karp R., and J. Orlin, Parametric shortest path algorithms with an application to cyclic staffing, Discrete Applied Mathematics, 3, 37-45, 1981.
Kearfott R., Rigorous Global Search: Continuous Problems, Kluwer Academic Publishers, Dordrecht, Netherlands, 1996.
Kelly J., Parametric programming and the primal-dual algorithm, Operations Research, 7, 1959, 327-334.
Kennington J., and Mohammadi F., The singly constrained assignment problem: An AP basis algorithm, Computational Optimization and Applications, 1995, 4, 347-374.
Kern G., and J. Wei, Master production rescheduling policy in capacity-constrained just-in-time make-to-stock environments, Decision Sciences, 27, 365-387, 1996.
Khachian L., A polynomial algorithm in linear programming, Soviet Mathematics Doklady, 20, 191-194, 1979.
Khuller S., Mitchell S., and Vazirani V., On-line algorithms for weighted bipartite matching and stable marriages, Theoretical Computer Science, 1994, 127, 255-267.
Kikuchi S., A method of defuzzify the number: Transportation problem application, Fuzzy sets and Systems, 116, 3-9, 2000.
Kim S., and S. Cho, A shadow price in integer programming for management decision, European Journal of Operational Research, 37, 328-335, 1988.
Kim S-J, and B. Shader, Linear systems with signed solutions, Linear Algebra and its Applications, 313, 21-40, 2000.
Kim W-J., An [epsiv]-sensitivity analysis in the primal--dual interior point method, European Journal of Operational Research, 116, 629-639, 1999.
Klee V., and P. Kleinschmidt, The d-step conjecture and its relatives, Mathematics of Operations Research, 12, 1987, 718-755.
Klee V. and Minty G., How good is the simplex algorithm, in Inequalities-III, Ed. Shisha O., Academic Press, New York, N.Y., 1972, 159-175.
Klein D., and S. Holm, Integer programming postoptimal analysis with cutting planes, Management Science, 25, 64-72, 1979.
Klingman D., Finding equivalent network formulations for constrained network problems, Management Science, 23, 1977, 737-744.
Klingman D., and R. Russell: Solving constrained transportation problems, Operations Research, 23, 1975, 91- 106.
Klose A., An LP-based heuristic for two-stage capacitated facility location problems, Journal of the Operational Research Society, 50, 157-176, 1999.
Knolmyer G., The effect of degeneracy on cost-coefficient ranges and an algorithm to resolve interpretation problems, Decision Sciences, 15, 1984, 14-21.
Knolmyer G., How many-sided are shadow prices at degenerate primal optimal?, Omega, 4, 1976, 493-494.
Kobbacy K., and S. Nicol, Sensitivity analysis of rent replacement models, International Journal of Production Economics, 36, 1994, 267-279.
Kolen A., A. Rinnooy Kan, C. van Hoesel and A. Wagel mans, Sensitivity analysis of list scheduling heuristics, Discrete Applied Mathematics, 55, 1994.
Kolev L., An improved method for global solution of non-linear systems, Reliable Computing, 5, 103-111, 1999.
Koltai T., Sensitivity calculation of the throughput of an FMS with respect to the routing mix using perturbation analysis, European Journal of Operational Research, 105, 1997, 483-493.
Kopidakis Y., Lamari M., and Zissimopoulos V., On the task assignment problem: two new efficient heuristic algorithms, Journal of Parallel and Distributed Computing, 1997, 42, 21-29.
Kriens J., and J. van Lieshout, Notes on the markowitz portfolio selection method, Statistica Neerlandica, 42, 1988, 181-191.
Kuk H., T. Tanino and M. Tanaka, Sensitivity analysis in parametrized convex vector optimization, Journal of Mathematical Analysis and Applications, 202, 1996, 511-522.
Labbe M., and J-F. Thisse, and R. Wendell, Sensitivity analysis in minisum facility location problems, Operations Research, 39, 961-969, 1991.
Ladany S., and K. So, Optimal recycling of waste materials in a plastic extrusion production process, Eur. J. Operational Research, 79, 1994, 13-24
Laporte G., F. Louveaux, and H. Mercure, A priori optimization of the probabilistic traveling salesman problem., Operation Research, 42, 1994, 543-549.
Larbani M., A concept of equilibrium for a game under uncertainty, European Journal of Operational Research, 117, 145-156, 1999
Larsson T., On scaling linear programs: Some experimental results, Optimization, 27, 1993, 355- 373.
Laville F., Should we abandon optimization theory? The need for bounded rationality, Journal of Economic Methodology, 7, 395 - 426, 2000.
Lee H., An optimization-based domain decomposition method for a nonlinear problem, Applied Mathematics and Computation, 113, 23-42, 2000.
Leon L., and Przasnyski Z., Spreadsheet analysis of linear programs with uncertainty, Simulation, 64, 113-130, 1995.
Leonov G., Stability by the first approximation, Journal of Applied Mathematics and Mechanics, 62, 511-517, 1998.
Letchford A., and A. Lodi, Strengthening Chvátal-Gomory cuts and Gomory fractional cuts, Operations Research Letters, 30, 74-82, 2002.
Leurent F., Sensitivity and error analysis of the dual criteria traffic assignment model, Transportation Research Part B: Methodological, 32, 1998, 189-204.
Levner E., A parametric critical path problem and an application for cyclic scheduling, Discrete Applied Mathematics, 87, 149-158, 1998.
Levy A., Implicit multifunction theorems for the sensitivity analysis of variational conditions, Mathematical Programming, 74, 1996, 333-350.
Li J., A robust finite element method for a singularly perturbed elliptic problem with two small parameters, Computers and Mathematics with Applications, 36, 91-110, 1998.
Li W., and F Szidarovszky, Notes on the stability of dynamic economic systems, Applied Mathematics and Computation, 108, 85-89, 1999.
Li Z., Barcilon A., and I. Navon, Study of block onset using sensitivity perturbations in climatological flows, Monthly Weather Review, 127, 879-900, 1999.
Libura M., Optimality conditions and sensitivity analysis for combinatorial optimization problems, Control and Cybernetics, 25, 1165-1180, 1996.
Libura M., Stability aspects of the traveling salesman problem based on k-best solutions, Discrete Applied Mathematics, 87, 159-185, 1998.
Lin S., and E. Ma, Sensitivity analysis of 0-1 multiterminal network flows, Networks, 21, 713-745, 1991.
Lin C., and U. Wen, Sensitivity analysis of the optimal assignment, Europ. J. Oper. Res., 149, 35-46, 2003.
Liu B., Modelling stochastic decision systems using dependent-chance programming, Eurp. J. Operational Research, 101, 1997, 193-203.
Liu B., and K. Iwamura, Topological optimization models for communication network with multiple reliability goals, Computers and Mathematics with Applications, 39, 59-69, 2000.
Liu J., The role of elimination trees in spares factorization, SIAM J. Matrix Analy. Appl., 11, 134-172, 1990.
Liu J., A new characterization on stability bounds for singularly perturbed systems, Linear Algebra and Its Applications, 263, 377-388, 1998.
Liu J., and K. Yokoyama, Epilson-optimality and duality for multiobjective fractional programming, Computers & Mathematics with Applications, 37, 119-128, 1999.
Liu K., and J. Filar, Weighted Markov decision processes with perturbation, Mathematical Methods of OR, 53, 465-480, 2001.
Liu S., The total cost bounds of the transportation problem with varying demand and supply, Omega, 31, 247-251, 2003.
Liu, S., and S. Wang, Sensitivity analysis of nonnegative irreducible matrices, Applied Mathematics Letters, 12, 1998, 121-124.
Liu Y., L. Teo and S. Ito, A dual parametrization approach to linear-quadratic semi-infinite programming problems, Optimization Methods and Software, 10, 1998, 471-495.
Liu Z., and J. Hansen, Exact analytical solutions for frequency sensitivity of flat plates with respect to boundary shape change, Structural Optimization, 18, 256-263, 1999.
Lorenz D., and D. Raz, A simple efficient approximation scheme for the restricted shortest path problem, Operations Research Letters, 28, 213-219, 2001.
Loukakis E., and A. Muhlemann, Parameterisation algorithms for the integer linear programs in binary variables, European Journal of Operational Research, 17, 104-115, 1984.
Luh H., and R. Tsaih, An efficient search direction for linear programming problems, Computers & Operations Research, 29, 195-203, 2001.
Lusting I., Marsten R., and Shanno D., Interior point methods for linear programming: Computational state of the art, ORSA Journal on Computing, 6, 1994, 1-35.
Magnanti T., and J. Orlin, Parametric linear programming and anti-cycling pivoting rules, Mathematical Programming, 41, 1988, 317-325.
Magnanti T., and R. Wong, Network design and transportation planning: Models and algorithm, Transportation Science, 18, 1984, 1-55.
Magos D., Tabu search for the planar three-index assignment problem, Journal of Global Optimization, 1996, 8, 35-48.
Magos D., and Miliotis P., An algorithm for the planar three-index assignment problem, European Journal of Operational Research, 77, 1994, 141-153.
Malamud S., On a class of multi-parameter perturbations of positive-definite operators with fixed bounds of spectrum, Linear Algebra and Its Applications, 274, 1998, 239-257.
Malcolm S., and S. Zenios, Robust optimization for power systems capacity expansion under uncertainty., J. Oper. Res. Soc., 45, 1994, 1040-1049.
Mangasarian O., Iterative solution of linear programs. SIAM Journal of Numerical Analysis, 18, 1981, 606-614.
Marchi E., and Tarazaga P., Relevant aspects in two-person games, Journal of Optimization Theory and Applications, 53, 1987, 125-131.
Marcucci C., and F. Schoen, Sensitivity analysis for Horn formulae, European Journal of Operational Research, 61, 1992, 48-56.
Mármol A., and J. Puerto, Special cases of the tolerance approach in multiobjective linear programming, Eur. J. Operational Research, 98, 1997, 610-616.
Maros I., A general phase-1 method in linear programming, Europ. J. Oper. Res., 23, 1986, 64-77.
Maros I., A generalized dual phase-2 simplex algorithm, Europ. J. Oper. Res., 149, 1-16, 2003.
Marsten R., and T. Morin, Parametric integer programming: The right-hand side case, Annals of Discrete Mathematics, 1, 375-390, 1977.
Marsten R., et al., Interior point methods for linear programming: Just call Newton, Lagrange, and Fiacco and McCormick!, Interfaces, 20, 1990, 105-116.
Martel A., Dynamic lot-sizing with price changes and price-dependent holding costs, Eur. J. Operational Research, 111, 1998, 114-128.
Martini H., On convex partitions of polygonal regions, Discrete Mathematics, 195, 167-180, 1998.
Martins E., An algorithm to determine a path with minimal cost/capacity ratio, Discrete Applied Mathematics, 8, 1984, 189-194.
Mattheis M., and R. Rubin, A survey and comparison of methods for finding all vertices of convex polyhedral sets, Mathematics of Operations Research, 5, 1980, 167-185.
Mausser H., and M. Laguna, Minimising the maximum relative regret for linear programs with interval objective function coefficients, Journal of the Operational Research Society, 50, 1163-1169, 1999.
Mausser H., and M. Laguna, A new mixed integer formulation for the maximum regret problem, International Transactions in Operational Research, 5, 389-403, 1998.
McBride R., and J. Yormark, Finding all solutions for a class of parametric quadratic integer programming problems, Management Science, 26, 784-795, 1980.
Megiddo N., On finding primal- and dual-optimal bases, ORSA Journal of Computing, 3, 63-65, 1991.
Mehrotra S., and R. Monteiro, Parametric and range analysis for interior point methods, Mathematical Programming, 74, 65-82, 1996.
Mészáros C., and T. Rapcsák, On sensitivity analysis for a class of decision systems, Decision Support Systems, 16, 1996, 231-240
Metters R., V. Vargas, and D. Whybark, An investigation of the sensitivity of DEA to data errors, Computers and Industrial Engineering, 41, 163-171, 2001.
Miettinen K., and M. Maekelae, On scalarizing functions in multiobjective optimization, OR Spectrum, 24, 193-213, 2002.
Mijangos E., and N. Nabona, On the first-order estimation of multipliers from Kuhn-Tucker systems, Computers and Operations Research, 28, 243-270, 2000.
Milbayev A., and A. Seyranyan, Singularities of stability region boundary, Journal of Applied Mathematics and Mechanics, 62, 909-920, 1999.
Minakawa T., and K. Sugihara, Topology-oriented construction of three-dimensional convex hulls, Optimization Methods and Software, 10, 357-371, 1998.
Mishra S, and Kumar T., On the probability of existence of pure equilibria in matrix games, Journal of Optimization Theory and Applications, 94, 765-770, 1997.
Mistiri F., A. Wang, Estimation Problems in an Input-and-Output System, Computers & Mathematics with Applications, 39, 29-42, 2000.
Mitra G., and Tamiz M., and Yadegar J., Experimental investigation of an interior search method within a simplex framework, Communication of the ACM, 31, 1988, 1474-1482.
Mohd I., and Y. Dasril, Constraint exploration method for quadratic programming problem, Applied Mathematics and Computation, 112, 161-170, 2000.
Monteiro R., and S. Mehrotra, A general parametric analysis approach and its implication to sensitivity analysis in interior point methods, Mathematical Programming, 72, 1996, 65-82, 1996.
Moores B., A note on degeneracy in integer linear programming problems, J. Opl. Res. Soc., 39, 1988, 1175-1178.
Mount D., and R. Silverman, Packing and covering the plane with translates of a convex polygon, Journal of Algorithms, 11, 564-580, 1990.
Mráz F., Calculating the exact bounds of optimal values in LP with interval coefficient, Annals of Operations Research, 81, 1998, 51-62.
Mukhopadhyay A., and S. Rao, Output-sensitive slgorithm for computing b-skeletons, Computing, 65, 285-289, 2000.
Murray A., and J. Gottsegen, The influence of data aggregation on the stability of p-median location model solutions, Geographical Analysis, 29, 200-213, 1997.
Murty K., Computational complexity of parametric linear programming, Mathematical Programming, 19, 1980, 213-219.
Murty K., and Fathi Y., A feasible direction method for linear programming, Operations Research Letters, 3, 1984, 121-127.
Nahum C., Sensitivity analysis in multiobjective optimization, INFOR, 28, 1990, 350-362.
Narula S., and J. Wellington, Sensitivity analysis for predictor variables in the MSAE regression, Computational Statistics and Data Analysis, 40, 355-373, 2002.
Nazareth J., A framework for interior methods of linear programming, Optimization Methods and Software, 5, 227-234, 1995.
Nemirovskii A., A new polynomial algorithm for linear programming, Soviet Math. Dokl., 37, 1988, 264-269.
Nesterov Y., and A. Nemirovskii, Interior-point Polynomial Algorithms in Convex Programming, Society for Industrial and Applied Mathematics, Philadelphia, 1994.
Nickels W., Rodder L., and Zimmerman H., Intelligent gradient search in linear programming, European Journal of Operation Research, 22, 1985, 293-303.
Nielsen F., Output-sensitive peeling of convex and maximal layers, Information Processing Letters, 59, 1996, 255-259.
Nieuwenhuizen Th., Johri's general dual, the Lagrangian dual, and the surrogate dual, European Journal of Operational Research, 117, 183-196, 1999.
Novikova N., and I.Pospelova, Multicriteria decision making under uncertainty, Mathematical Programming, 92, 537-554, 2002.
Obuchowska W., Minimal representation of convex regions defined by analytic functions, Journal of Mathematical Analysis and Applications, 246, 100-121, 2000.
Odijk M., Sensitivity analysis of a railway station track layout with respect to a given timetable, European Journal Of Operational Research, 112, 1999, 517-530
Ohtake Y., and N. Nishida, A branch-and-bound algorithm for 0-1 parametric mixed integer programming, Operations Research Letters, 4, 41-45, 1985.
Ohtsubo Y., Minimizing risk models in stochastic shortest path problems, Mathematical Methods of OR, 57, 79-88, 2003.
Okabe A., and A. Suzuki, Stability of Spatial Competition for a Large Number of Firms on a Bounded Two-dimensional Space, Environment and Planning (A), 16, 107-114, 1987.
Okada S., and Gen M., Fuzzy Shortest-path Problem, Computers & Industrial Engineering, 27, 1994, 465-468.
Olesen O., and N. Petersen, Chance-constrained efficiency evaluation, Management Science, 41, 1995, 442-457.
Orlin J., On the simplex algorithm for network and generalized network, Mathematical Programming Study, 24, 1985, 166-178.
Orlin J., and Ahuja R., New scaling algorithms for the assignment and minimum mean cycle problems, Mathematical Programming, 54, 1992 41-56.
O'Rourke J., Finding minimal enclosing boxes, International Journal of Computer and Information Sciences, 14, 1985, 183-199.
Osuna-Gómez R., A. Beato-Moreno, and A. Rufian-Lizana, Generalized convexity in multiobjective programming, Journal of Mathematical Analysis and Applications, 233, 205-220, 1999.
Ozcan Y., Sensitivity analysis of hospital efficiency under alternative output/input, Knowledge and Policy, 5, 1993, 1-29.
Ozdamar L., and M. Demirhan, Experiments with new stochastic global optimization search techniques, Computers and Operations Research, 27, 841-865, 2000.
Pallottino S., and M. Scutella, A new algorithm for reoptimizing shortest paths when the arc costs change, Operations Research Letters, 3, 149-160, 2003.
Pan P., A basis-deficiency-allowing variation of the simplex method for linear programming, Computers and Mathematics with Applications, 36, 1998, 33-53
Pant R., Discontinuity and fixed points, Journal of Mathematical Analysis and Applications, 240, 284-289, 1999.
Paparrizos K., The two phase simplex without artificial variables, Methods of Operations Research, 61, 1990, 73-83.
Paparrizos K., N. Samaras, and G. Stephanides, A new efficient primal dual simplex algorithm, Computers & Operations Research, 30, 1383-1399, 2003.
Paparrizos K., N. Samaras, and G. Stephanides, An efficient simplex type algorithm for sparse and dense linear programs, European Journal of Operational Research, 148, 323-334, 2003.
Paranjape S., The simplex method: Two basic variable replacement, Management Science, 12, 1965, 135-141.
Pardalos P., Y. Li, and W. Hager, Linear programming approaches to convex hull problem in Rm, Computers and Mathematics with Applications, 29, 1995, 23-29.
Paris Q., Revenue and cost uncertainty, generalized mean-variance and the linear complementarity problem: Reply, American Journal of Agricultural Economics, 61, 1989, 810-812.
Paris Q., Stochastic technology and prices: Reply, American Journal of Agricultural Economics, 61, 1989, 817-819.
Paris Q., and C. Easter, A stochastic programming model with stochastic technology and prices: The case of Australian agriculture, American Journal of Agricultural Economics, 67, 1985, 120-129.
Park J-Y., and M-J Lee, Duality in the optimal control problems for hyperbolic distributed parameter systems with damping terms, Journal of Mathematical Analysis and Applications, 227, 449-461, 1998.
Park Y., and K. Choi, Shape design sensitivity analysis of nonlinear 2-D solids with elasto-plastic material, Structural Optimization, 18, 236-246, 1999.
Patriksson M., and W. Laura, Stochastic mathematical programs with equilibrium constraints, Operations Research Letters, 25, 1999, 159-167
Pena J., Pivoting strategies leading to diagonal dominance by rows, Numerische Mathematik, 81, 1998, 293-304
Penz P., C. Rapine, and D. Trystram, Sensitivity analysis of scheduling algorithms, European Journal of Operational Research, 134, 606-615, 2001.
Pestov I., Modelling structured geothermal systems II: Application of linear stability analysis, Mathematical and Computer Modelling, 29, 1-10, 1999.
Petersen I., Stability of equilibria in multi-party political systems, Mathematical Social Sciences, 21, 81-93, 1991.
Phillips S., and J. Westbrook, On-line load balancing and network flow, Algorithmica, 21, 245-261, 1998.
Phu H., and N. Yen, On the stability of solutions to quadratic programming problems, Mathematical Programming, 89, 385-394, 2001.
Pierce A., Bibliography on algorithms for shortest path, shortest spanning trees, and related circuit routing problems (1956-1974), Networks, 5, 1975, 129-149.
Pilot Ch., A model for allocated versus actual costs in assignment and transportation problems European Journal of Operational Research, 112, 570-581, 1998.
Plotkin S., and E. Tardos, Improved dual network simplex, Proceedings of the First ACM-SIAM Symposium on Discrete Algorithms, 367-376, 1990.
Poljak S., and J. Rohn, Checking robust nonsingularity is NP-hard, Math. Control. Signals Syst., 6, 1-9, 1993.
Powell M., Variable mertic method for constraint optimization, In Mathematical Programming: the State of the Art, Ed. Grotschel M and B. Korte, Sringer-Verlag, Berlin, 1983.
Prekopa A., Dual method for the solution of a one-stage stochastic programming problem with random RHS obeying a discrete probability distribution, Z. Oper. Res., 34, 1990, 441-461.
Price W., and M. Gravel, Solving network manpower problems, European Journal of Operational Research, 15, 1984, 196-202.
Punnen A., and K. Nair, Constrained balanced optimization problems, Computers & Mathematics with Applications, 37, 1999, 157-163.
Punnen A., and Aneja Y., A tabu search algorithm for the resource-constrained assignment problem, Journal of the Operational Research Society, 1995, 46, 214-220.
Quandt R., and Kuhn H., On upper bounds for the number of iterations in solving linear programs, Operations Research, 12, 1964, 26-37.
Radzik T., Parametric flows, wighted means of cuts, and fractional combinatorial optimization, in Numerical Optimization, P. Pardalos (ed.), World Scientific, 351-386, 1993
Raghavan T., and Z. Syed, A policy-improvement type algorithm for solving zero-sum two-person stochastic games of perfect information, Mathematical Programming, Ser. A, 95(3), 513-532, 2003.
Ralph D., and S. Scholtes, Sensitivity analysis of composite piecewise smooth equations, Mathematical Programming, 76, 1997, 593-612.
Ramaswamy R., J. Orlin, and N. Chakravarti, Sensitivity analysis for shortest path problems and maximum capacity path problems in undirected graphs, Mathematical Programming, 102, 355-369, 2005.
Ravi N., and R. Wendell, The tolerance approach to sensitivity analysis in network linear programming, Networks, 18, 1988, 159-171.
Ravindran A., A comparison of the primal-simplex and complementary pivot methods for linear programming, Naval Research Logistic Quarterly, 20, 95-100, 1973.
Reilly T., Sensitivity analysis for dependent variables, Decision Sciences Journal, 31, 551-572, 2000.
Renegar J., Some perturbation theory for linear programming, Mathematical Programming, 65, 1994, 73-91.
Ringuest J., LP-metric sensitivity analysis for single and multi-attribute decision analysis, Eur. J. Operational Research, 98, 1997, 563-570.
Robb D., The 'more-for-less' paradox in distribution models: an intuitive explanation, IIE Transactions, 1990, 22, 377-378.
Robinson S., Local structure of feasible sets in nonlinear programming, Part III: Stability and sensitivity, Mathematical Programming Study, 30, 1987, 45-66.
Rockafellar R., Computational schemes for large-scale problems in extended linear- quadratic programming, Math. Program., Ser. B 48, 1990, 447-474.
Rodriguez Galiano M., and J. González-Pachón, Characterization of certain orders using their associated choice functions, European Journal of Operational Research, 132, 141-149, 2001.
Roemisch W., and R. Schultz, Distribution sensitivity for certain classes of chance-constrained models with application to power dispatch, J. Optimization Theory Appl., 71, 1991, 569-588.
Rohn J., Overestimations in bounding solutions of perturbed linear equations, Linear Algebra and Its Applications, 262, 55-65, 1998.
Romisch W., and R. Schultz, Stability analysis for stochastic programs, Annals of Operations Research, 30, 1991, 241-266
Roos C., An exponential example for Terlaky's pivoting rule for the criss-cross simplex method, Mathematical Programming, 46, 1990, 79-84.
Rosen J., The gradient projection method for nonlinear programming: Part I, linear constraints, Journal of Society for Industrial and Applied Mathematics, 8, 1960, 181-217.
Rosenberg D., Duality and Markovian strategies, Game Theory, 27, 1998, 577-597.
Rosenwein M., An improved bounding procedure for the constrained assignment problem, Computers Opns. Res., 18, 1991, 531-535.
Rountree S., and B. Gillett, Parametric integer linear programming: A synthesis of branch and bound with cutting planes, European Journal of Operational Research, 10, 183-189, 1982.
Rousseau J., J. Semple, Radii of classification preservation in data envelopment analysis - A case-study of program follow-through, Journal of The Operational Research Society, 46, 1995, 943-957.
Rubin D., and H. Wagner, Shadow prices: tips and traps for managers and instructors, Interfaces, 20, 1990,150-157.
Ruhe G., Characterization of all optimal solutions and parametric maximal flows in networks, Optimization, 16, 1985, 51-61.
Ruhe G., Parametric maximal flows in generalized networks: Complexity and algorithms, Optimization, 19, 1988, 235-251.
Ryan D., and Osborne M., On the solution of highly degenerate linear programming, Mathematical Programming, 41, 1988, 385-392.
Ryan M., The distribution problems, the more for less (nothing) paradox and economies of scale and scope, European Journal of Operational Research, 121, 92-104, 1999.
Sadagopan S. and A. Ravindran, A vertex ranking algorithm for the fixed-charge transportation problem. Journal of Optimization Theory and Applications, 1982, 37, 221-230.
Sakawa M, and Nishizaki I, Max-min solutions for fuzzy multiobjective matrix games, Fuzzy Sets and Systems, 67, 53-69, 1994.
Saltelli A., Sensitivity analysis: Could better methods be used?, Journal of Geophysical Research, 104(D3), 3789-3793, 1999.
Saltelli A., Chan K., and M. Scott, (Eds.), Special Issue on sensitivity analysis, Computer Physics Communications, 117, 1999.
Saltelli A., and J. Marivoet, Nonparametric statistics in sensitivity analysis for model output; A comparison of selected techniques, Reliability Engineering and System Safety, 28, 229-253, 1990.
Saltelli A., and Scott M., Special Issue on Sensitivity Analysis, in Reliability Engineering and System Safety, 52(1-4), 1997.
Saltelli A., Tarantola S., and K. Chan K., Presenting the results from model based studies to decision makers: Can sensitivity analysis be a defogging agent?, Risk Analysis, 18, 799-803, 1998.
Saltelli A., Tarantola S., and K. Chan, A quantitative, model independent method for global sensitivity analysis of model output, Technometrics, 41, 39-56, 1999.
Saltelli A., Tarantola S., and K. Chan, A role for sensitivity analysis in presenting the results from MCDA studies to decision makers, Journal of Multi-criteria Decision Analysis, 8, 139-145, 1999.
Scho"bel A., Solving restricted line location problems via a dual interpretation, Discrete Applied Mathematics, 93, 109-125, 1999.
Schonherr S., Resource allocation on condition of random resource demand of network activities, Optimization, 16, 1985, 715-731.
Schrage L., and L. Wolsey, Sensitivity analysis for branch and bound integer programming, Operations Research, 33, 1008-1023, 1985.
Schultz R., On structure and stability in stochastic programs with random technology matrix and complete integer recourse, Mathematical Programming, 70, 1995, 73-89.
Schultz R., L. Stougie, and M.H. van der Vlerk, Two-stage stochastic integer programming: A survey, Statistica Neerlandica, 50, 1996, 404-416.
Scott M., and A. Saltelli, Editors, Special Issue on Sensitivity Analysis in the Journal of Statistical Computation and Simulations, 57(1-4), 1997.
Sergienko I., and L. Kozeratskaya, Solution of a parametric integer programming problem, Cybernetics, 18, 360-367, 1982.
Sergienko I., and V. Roshchin, On integer programming problems with inaccurate data, Optimization Methods and Software, 6, 229-236, 1995.
Shapiro J., Sensitivity analysis in iteger programming, Annals of Discrete Mathematics, 1, 467-477, 1977.
Sharma R., A new dual based procedure for the transportation problem, European Journal of Operational Research, 122, 611-624, 2000.
Sherali H., Choi G., and C. Tuncbilek, A variable target value method for nondifferentiable optimization, Operations Research Letters, 26, 1-8, 2000.
Sherali K., Soyster A., and Baines S., Nonadjacent extreme point methods for solving linear programs. Naval Research Logistics Quarterly 30, 1983, 145-161.
Sheran D., Post-optimality in linear programming: The right example, IIE Transactions, 16, 99-102, 1984.
Shier D., and Witzgall C., Arcs tolerance in shortest path and network flow problems. Networks, 10, 1980, 277-291.
Shih N-H., The sensitivity analysis of binary networks via simulation, European Journal of Operational Research, 114, 602-609, 1999.
Shorali H., and G. Choi, Finding the closest point to the origin in the convex hull of a discrete set of points, Computers & Operations Research, 20, 1993, 363-370.
Shragowitz E., Iterative converging algorithms for computing bounds on durations of activities in pert and pert-like models, Journal of Combinatorial Optimization, 7, 5-22, 2003.
Skorin-Kapov J., and F. Granot, Non-linear integer programming: sensitivity analysis for branch and bound, Operations Research Letters, 6, 269-274, 1987.
Smal S., On the average speed of the simplex method, Mathematical Programming, 27, 1983, 241-262.
Son Y., Linear-programming-based productivity and business strategy analyses in factory automation era, International Journal of Production Research, 1994, 32, 443-455.
Soofi E., et al., A framework for measuring the importance of variables with applications to management research and decision models, Decision Sciences Journal, 31, 595-625, 2000.
Sotskov Y., Stability of an optimal schedule, European Journal of Operational Research, 55, 91-102, 1991.
Sotskov Y., Stability of high-speed optimal schedules, Computational Mathematics and Mathematical Physics, 29, 57-63, 1989.
Sotskov Y., V. Leontev, and E. Gordeev, Some concepts of stability analysis in combinatorial optimization, Discrete Applied Mathematics, 58, 169-190, 1995.
Sotskov Y., A. Wagelmans, and F. Werner, On the calculation of the stability radius of an optimal or an approximate schedule, Annals of Operations Research, 83, 1998, 213-252.
Spira P., and Pan A., On finding and updating spanning trees and shortest paths. SIAM Journal of Computing, 4, 1975, 375-380.
Stancu-Minasian, I., A fourth bibliography of fractional programming, Optimization, 23, 1992, 53-71.
Steinbach M., Markowitz revisited: mean-variance models in financial portfolio analysis. SIAM Review, 43, 31-85, 2001.
Steinberg D., and Aucamp D., On ranging cost coefficients in dual degenerate linear programming problems. Decision Sciences, 14, 1983, 440-441.
Stettner L., Risk sensitive portfolio optimization, Mathematical Methods of OR, 50, 463-474, 1999.
Stewart G., On the sensitivity of the eigenvalue problem, SIAM Num. Anal., 9, 1972, 669-686.
Sturmfels B., and R. Thomas, Variation of cost functions in integer programming, Mathematical Programming, 77, 357-387, 1997.
Sueyoshi T., Production analysis in different time periods: An application of data envelopment analysis, Eur. J. Operational Research, 86, 1995, 216-230.
Sui Y, Two optimization methods for complicated structures with multiparameter elements based on generalized condensation, Structural Optimization, 17, 1999, 226-232.
Sun D., A further result on an implicit function theorem for locally Lipschitz functions, Operations Research Letters, 28, 193-198, 2001.
Sun M., A tabu search heuristic procedure for solving the transportation problem with exclusionary side constraints, Journal of Heuristics, 3, 305-326, 1998.
Sung K., and S. Park, Sensitivity analysis of matrix game, Asia-Pacific Journal of Operational Research, 12, 1995, 179-186.
Sung K., and S. Park, Sensitivity analysis of matrix game (Korean), Journal of the Korean OR-MS Society, 13, 1988, 1-9.
Taa A., Optimality Conditions for vector mathematical programming via a theorem of the alternative, Journal of Mathematical Analysis and Applications, 233, 1999, 233-245
Takriti S., On the convergence of the block principal pivotal algorithm for the LCP, Eurp. J. Operational Research, 103, 1997, 657-666.
Tanino T., Stability and sensitivity analysis in convex vector optimization, SIAM J. Control and Optimization, 26, 521-536, 1988.
Tanino T., Sensitivity analysis in multiobjective optimization, J. Opt. Theory and Appl., 56, 479-499, 1988.
Tarjan R., Sensitivity analysis of minimum spanning trees and shortest path trees, Information Processing Letters, 4, 1982, 30-33.
Tarjan R., Corrigendum: Sensitivity analysis of minimum spanning trees and shortest path trees, Information Processing Letters, 23, 1986, 219.
Tayi G., Sensitivity analysis of mixed integer programs: An application to environmental policy making, European Journal of Operational Research, 22, 224-233, 1985.
Tcha D., Y. Myung, and K. Chung, Parametric uncapacitated facility location, European J. of Operational Research, 86, 469-479, 1995.
Teague M., D. Bernardo, and H. Mapp, Farm level economic analysis incorporating stochastic environmental risk assessment, American Journal of Agricultural Economics, 77, 1995, 8-19.
Terlaky T., and Zhang S., Pivot rules for linear programming: A survey on recent theoretical developments, Annals of Operations Research, 46, 1993 203-233.
Thill J., and G. Rushton, Demand sensitivity to space-price competition with Manhattan and Euclidean representations of distance, Annals of Operations Research, 40, 381-401, 1992.
Thompson R., et al., DEA multiplier analytic center sensitivity with an illustrative application to independent oil companies, Annals of Operations Research, 66, 1996, 163-77.
Thompson R., et al., DEA/AR profit ratios and sensitivity of 100 large U.S. banks, Eur. J. Operational Research, 98, 1997, 213-229.
Thorup M., Parallel shortcutting of rooted trees, Journal of Algorithms, 23, 1997, 139-159.
Tijs S., E-equilibrium point theorems for two-person games, Methods of Operations Research, 26, 1977, 755-766.
Tolla P., A stable and sparsity exploiting LU factorization of the basis matrix in linear programming, Europ. J. Oper. Res., 24, 1986, 247-251.
Truemper K., Unimodular matrices of flow problems with additional constraints, Networks, 7, 1977, 343-358.
Tseng F., Yang W., and Chen A., Finding a complete matching with the maximum product on weighted bipartite graphs, Computers & Mathematics with Applications, 1993, 25, 65-71.
Tsinias J., The concept of `Exponential input to state stability' for stochastic systems and applications to feedback stabilization, Systems & Control Letters, 36, 221-229, 1999.
Tuniev A., Pivot vector method and its applications, Cybernetics and Systems Analysis, 28, 1992, 99-109.
Uber J., and E. Downey, Jr., Design optimization with sensitivity constraints, Engineering Optimization, 16, 1990, 15-28.
Ubi E., How to choose a pivot element in simplex method?, Informatica, 4, 1993, 217-226
Valdmanis V., Sensitivity analysis for DEA models: An empirical example using public vs. NFP hospitals, Journal of Public Economics, 48, 1992, 185-205.
Van Groenendaal W., and J. Kleijnen, Deterministic versus stochastic sensitivity analysis in investment problems: An environmental case study, European Journal of Operational Research, 141, 8-20, 2002.
Van Hoesel S., On the complexity of postoptimality analysis of 0/1 programs, Discrete Applied Mathematics, 91, 251-263, 1999.
Van Hoesel S., and A. Wagelmans, Sensitivity analysis of the economic lot-sizing problem, Discrete Applied Mathematics, 45, 291-312, 1993.
Van Loan C., The sensitivity of the matrix exponential, SIAM Num. Anal., 14, 1977, 971-981.
Van Tu T., Optimization over the efficient set of a parametric multiple objective linear programming, European Journal of Operational Research, 122, 570-583, 2000.
Vladimirou H., Stochastic linear programs with restricted recourse, Eurp. J. Operational Research, 101, 1997, 177-192.
Wan Y., Resource allocation for a stochastic CPM-type network through perturbation analysis, Eur. J. Operational Research, 79, 239-248, 1994.
Wang H., Solution of the system of linear algebraic equations by decreasing dimension, Applied Mathematics and Computation, 109, 51-57, 2000.
Wang H., and J. Horng, Structural approach to parametric analysis of an IP on the case of right-hand side, European Journal of Operational Research, 92, 148-156, 1996.
Wang H., and J. Horng, Directed perturbation analysis of an integer program, Journal of Mathematical Analysis and Applications, 201, 447-460, 1996.
Wang J., A recurrent neural network for solving the shortest path problem, IEEE Transactions on Circuits & Systems. Part 1, 43, 1996, 482-484.
Wang M., and Y. Kuo, A perturbation method for solving linear semi-infinite programming problems, Computers & Mathematics with Applications, 37, 181-198, 1999.
Wanka G., and L. Goehler, Duality for portfolio optimization with short sales, Mathematical Methods of OR, 53, 247-263, 2001.
Ward J., and Wendell R., Approaches to sensitivity analysis in linear programming, Annals of Operations Research, 27, 1990, 3-38.
Webber S., B. Apostolou, and J. Hassell, The sensitivity of the analytic hierarchy process to alternative scale and cue presentations 1, Eur. J. Operational Research, 96, 1997, 351-362.
Weber Ch., A note on Lagrange multipliers with several binding constraints, Economics Letters, 59, 1998, 71-75.
Weber G., Sensitivity analysis of optimal matchings, Networks, 11, 1981, 41-56.
Weng K., Modeling quantity discounts under general price-sensitive demand functions: Optimal policie and relationships, Eur. J. Operational Research, 86, 1995, 300-314.
Williams H., Marginal values in mixed integer linear programming, Mathematical Programming, 44, 67-75, 1989.
Williams H., Constructing the value function for an integer linear programme over a cone, Computational Optimization and Applications, 6, 15-26, 1996.
Williams H., The formulation of mathematical programming models, Omega, 3, 1975, 551-556.
Williams H., Duality in mathematics and linear and integer programming, Journal of Optimization Theory and Applications, 90, 257-278, 1996.
Wilson G., and H. Jain, An approach to postoptimality and sensitivity analysis of zero-One goal programs, Naval Research Logistics, 35, 73-84, 1988.
Wolfe W., and Ulmer R., Orthogonal projections applied to the assignment problem, IEEE Transactions on Neural Networks, 8, 1997, 774-778.
Wollmer R., Two-stage linear programming under uncertainty with 0-1 first stage variables, Mathematical Programming, 19, 1980, 279-288.
Wolsey L., Integer programming duality: Price functions and sensitivity analysis, Mathematical Programming, 20, 173-195, 1981.
Wolters W., and B. Mareschal, Novel types of sensitivity analysis for additive MCDM methods, Eur. J. Operational Research, 81, 1995, 281-290.
Wondolowski Jr F., A generalization of Wendell's tolerance approach to sensitivity analysis in linear programming, Decision Sciences, 22, 1991, 792-810.
Woo T., and H. Lee, On the time complexity for circumscribing a convex polygon, Computer Vision Graphics and Image Processing, 30, 1985, 362-363.
Wright M., Speeding up the Hungarian algorithm, Computers Opns Res., 17, 1990, 95-96.
Xia Y., B. Liu, S. Wang, K. Lai, A model for portfolio selection with order of expected returns, Computers and Operation Research, 409-422, 27, 2000.
Xie X., Stability analysis and optimization of an inventory system with bounded orders, European Journal of Operational Research, 110, 1998, 126-149.
Xu S.-S., On characterization of best approximation with certain constraints, Journal of Approximation Theory, 92, 1998, 339-360.
Yamamura K., Finding all solutions of nonlinear equations using linear combinations of functions, Reliable Computing, 6, 105-113, 2000.
Yang C., and J. Zhang, Two general methods for inverse optimization problems, Applied Mathematics Letters, 12, 1998, 69-72
Yan D. and H. Mukai, Optimization algorithm with probabilistic estimation., J. Optimization Theory Appl., 79, 1993, 345-371.
Yang K-K., Effects of erroneous estimation of activity durations on scheduling and dispatching a single project, Decision Sciences, 27, 255-290, 1996.
Yannakakis M., Expressing combinatorial optimization problems by linear programming, Journal of Computer and System Sciences, 43, 1991, 441-466.
Ye Y., Eliminating columns in the simplex method for linear programming, Journal of Optimization Theory and Applications, 63, 1989, 69-77.
Ye Y., Todd M., and Mizuno S., An O( n1/2 L)-Iteration homogeneous and self-dual linear programming algorithm, Mathematics of Operations Research, 19, 1994, 53-67.
Yen H-C., Integer linear programming and the analysis of some Petri Net problems, Theory of Computing Systems, 32, 1999, 467-485.
Yen N., and G. Lee, Solution sensitivity of a class of variational inequalities, Journal of Mathematical Analysis and Applications, 215, 1997, 48-55.
Yeo K., Project cost sensitivity and variability analysis, International Journal of Project Management, 9, 1991, 111-116.
Yildirim E., A unifying optimal partition approach to sensitivity analysis in conic optimization, Journal of Optimization Theory and Applications, 122, 405-423, 2004.
Yildirim E., and M. Todd, Sensitivity analysis in linear programming and semidefinite programming using interior-point methods, Mathematical Programming, 90, 229-261, 2001.
Yoshida Y., A stopping game in a stochastic and fuzzy environment, Mathematical and Computer Modelling, 30, 147-158, 1999.
Zadeh N., A bad network problem for the simplex method and other minimum cost flow algorithms, Mathematical Programming, 5, 1973, 255-266.
Zagst R., Using scenario analysis for risk management, Allgemeines Statistisches Archiv, 86, 97-117, 2002.
Zaki H., A comparison of two algorithms for the assignment problem, Computational Optimization and Applications, 1995, 4, 23-28.
Zeleny M., Games with multiple payoffs, International Journal of Game Theory, 4, 1991, 179-191.
Zenios S., Integrating network optimization capabilities into a high-level modeling language, ACM Transactions on Mathematical Software, 16, 1990, 113-142.
Zhang J., An inverse DEA model for inputs/outputs estimates, European Journal of Operational Research, 121, 151-163, 1999.
Zhang S., New variants of finite criss-cross pivot algorithms for linear programming, European Journal of Operational Research, 116, 607-614, 1999.
Zhang S., On anti-cycling pivoting rules for the simplex method, Operations Research Letters, 10, 1991, 189-192.
Zhang W., and M. Domaszewski, Efficient sensitivity analysis and optimization of shell structures by the ABAQUS code, Structural Optimization, 18, 173-182, 1999.
Zhang W., M. Domaszewski, and H. Bassir, Developments of sizing sensitivity analysis with the ABAQUS code, Structural Optimization, 17, 1999, 219-225.
Zhang X., and D. Liu, A note on the continuity of solutions of parametric linear programs, Mathematical Programming, 47, 1990, 143-153.
Zheng A., Robust stability analysis of constrained model predictive control, Journal of Process Control, 9, 271-278, 1999.
Zhu J., Robustness of the efficient DMUs in data envelopment analysis, European Journal of Operational Research, 90, 1996, 451-460, 1996.
Zhu J., Super-efficiency and DEA sensitivity analysis, European Journal of Operational Research, 129, 443-455, 2001.
The Copyright Statement: The fair use, according to the 1996 Fair Use Guidelines for Educational Multimedia, of materials presented on this Web site is permitted for non-commercial and classroom purposes only.
This site may be mirrored intact (including these notices), on any server with public access. All files are available at http://home.ubalt.edu/ntsbarsh/Business-stat for mirroring.
Kindly e-mail me your comments, suggestions, and concerns. Thank you.
This site was launched on 2/14/1995, its contents have been updated often, and its entire external links checked once a month ever since.
Dr Arsham's Home Page