Introduction to operations research
著者
書誌事項
Introduction to operations research
McGraw-Hill Higher Education, 2010
9th ed., international ed
- : pbk
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注記
Includes bibliographical references and indexes
HTTP:URL=http://catdir.loc.gov/catdir/toc/ecip0827/2008039045.html Information=Table of contents only
内容説明・目次
内容説明
For over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text.
The website will include solutions, 100 worked examples, articles, a testbank, companion software, and eight bonus chapters as well as case studies.
目次
1 Introduction2 Overview of the Operations Research Modeling Approach3 Introduction to Linear Programming4 Solving Linear Programming Problems: The Simplex Method5 The Theory of the Simplex Method6 Duality Theory and Sensitivity Analysis7 Other Algorithms for Linear Programming8 The Transportation and Assignment Problems9 Network Optimization Models 10 Dynamic Programming11 Integer Programming12 Nonlinear Programming13 Metaheuristics14 Game Theory15 Decision Analysis16 Markov Chains17 Queueing Theory18 Inventory Theory19 Markov Decision Processes20 SimulationAppendix 1 Documentation for the OR CoursewareAppendix 2 ConvexityAppendix 3 Classical Optimization MethodsAppendix 4 Matrices and Matrix OperationsAppendix 5 Table for a Normal DistributionSupplements on the Online Learning CenterAdditional CasesSupplement to Appendix 3.1 More about LINGOSupplement to Chapter 7 Linear Goal Programming and Its Solution ProceduresSupplement to Chapter 8 A Case Study with Many Transportation ProblemsSupplement 1 to Chapter 18 Derivation of the Optimal Policy for the Stochastic Single-Period Model for Perishable ProductsSupplement 2 to Chapter 18 Stochastic Periodic-Review ModelsSupplement 1 to Chapter 20 Variance-Reducing TechniquesSupplement 2 to Chapter 20 Regenerative Method of Statistical Analysis21 The Art of Modeling with Spreadsheets22 Project Management with PERT/CPM23 Additional Special Types of Linear Programming Problems24 Probability Theory25 Reliability26 The Application of Queueing Theory27 Forecasting28 Examples of Performing Simulations on Spreadsheets with Crystal BallAppendix 6 Simultaneous Linear Equations
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