Introduction to operations research / Frederick S. Hillier, Gerald J. Lieberman

By: Hillier, Frederick SContributor(s): Lieberman, Gerald JMaterial type: TextTextPublisher: Boston : McGraw-Hill, c2010Edition: Ninth editionDescription: xxiv, 1047 pages : illustrations ; 27 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780071267670 [paperback]Subject(s): Operations researchDDC classification: Online resources: Table of contents only
Contents:
Contents: Chapter 1 Introduction -- Chapter 2 Overview of the operations research modeling approach -- Chapter 3 Introduction to linear programming -- Chapter 4 Solving linear programming problems: the simplex method -- Chapter 5 The theory of simplex method -- Chapter 6 Duality theory and sensitivity analysis -- Chapter 7 Other algorithms for linear programming -- Chapter 8 The transportation and assignment problems -- Chapter 9 Network optimization models -- Chapter 10 Dynamic programming -- Chapter 11 Integer programming -- Chapter 12 Nonlinear programming -- Chapter 13 Metaheuristics -- Chapter 14 Game theory -- Chapter 15 Decision analysis -- Chapter 16 Markov chains -- Chapter 17 Queueing theory -- Chapter 18 Inventory theory -- Chapter 19 Markov decision process -- Chapter 20 Simulation -- Chapter 21 The art of modeling with spreadsheets -- Chapter 22 Project management with PERT/CPM -- Chapter 23 additional special types of linear programming problems -- Chapter 24 Probability theory -- Chapter 25 Reliability -- Chapter 26 The application of queueing theory -- Chapter 27 Forecasting -- Chapter 28 Examples of performing simulations on spreadsheets with crystal ball.
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658.4032 H55 2010 (Browse shelf) Available 3UCBL000008249

Includes appendix

Contents: Chapter 1 Introduction -- Chapter 2 Overview of the operations research modeling approach -- Chapter 3 Introduction to linear programming -- Chapter 4 Solving linear programming problems: the simplex method -- Chapter 5 The theory of simplex method -- Chapter 6 Duality theory and sensitivity analysis -- Chapter 7 Other algorithms for linear programming -- Chapter 8 The transportation and assignment problems -- Chapter 9 Network optimization models -- Chapter 10 Dynamic programming -- Chapter 11 Integer programming -- Chapter 12 Nonlinear programming -- Chapter 13 Metaheuristics -- Chapter 14 Game theory -- Chapter 15 Decision analysis -- Chapter 16 Markov chains -- Chapter 17 Queueing theory -- Chapter 18 Inventory theory -- Chapter 19 Markov decision process -- Chapter 20 Simulation -- Chapter 21 The art of modeling with spreadsheets -- Chapter 22 Project management with PERT/CPM -- Chapter 23 additional special types of linear programming problems -- Chapter 24 Probability theory -- Chapter 25 Reliability -- Chapter 26 The application of queueing theory -- Chapter 27 Forecasting -- Chapter 28 Examples of performing simulations on spreadsheets with crystal ball.

Education : Math

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