Introduction to operations research

Introduction to operations research

by Hillier, Frederick S.

Type Book
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"New to the tenth edition : a chapter on linear programming under uncertainty that includes topics such as robust optimization, chance constraints, and stochastic programming with recourse ; a section on the recent rise of analytics together with operations research ; analytic solver platform for education, exciting new software that provides an all-in-one package for formulating and solving many OR models in spreadsheets."--Page 4 de la couverture.

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Title Statements

  • Full title :Introduction to operations research / Frederick S. Hillier, Gerald J. Lieberman.

Summary

"New to the tenth edition : a chapter on linear programming under uncertainty that includes topics such as robust optimization, chance constraints, and stochastic programming with recourse ; a section on the recent rise of analytics together with operations research ; analytic solver platform for education, exciting new software that provides an all-in-one package for formulating and solving many OR models in spreadsheets."--Page 4 de la couverture.

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Edition Statements

  • Publication Date:©2015.
  • Edition:10th ed

Publication Statements

  • Publisher(s):McGraw-Hill
  • Place of Publication:New York, NY
  • Language:eng
  • Publication Date:©2015.

The Physical Object

  • Description:xxx, 1010 p

Edition Identifiers

  • ISBN:9780073523453, 0073523453, 9789814577205, 9814577200
  • oclc:ocn875353664
  • LC Classification:T57.6
  • Dewey Decimal:658.4/032

Table of Contents

1 Introduction -- 2 Overview of the Operations Research Modeling Approach -- 3 Introduction to Linear Programming -- 4 Solving Linear Programming Problems: The Simplex Method -- 5 The Theory of the Simplex Method -- 6 Duality Theory -- 7 Linear Programming under Uncertainty -- 8 Other Algorithms for Linear Programming -- 9 The Transportation and Assignment Problems -- 10 Network Optimization Models -- 11 Dynamic Programming -- 12 Integer Programming -- 13 Nonlinear Programming -- 14 Metaheuristics -- 15 Game Theory -- 16 Decision Analysis -- 17 Queing Theory -- 18 Inventory Theory -- 19 Markov Decision Processes -- 20 Simulation -- Appendix 1 Documentation for the OR Courseware -- Appendex 2 Convexity -- Appendix 3 Classical Optimization Methods -- Appendix 4 Matricies and Matrix Operations -- Appendix 5 Table for a Normal Distribution.

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