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Introduction to operations research / Frederick S. Hillier [and] Gerald J. Lieberman

By: Contributor(s): Material type: TextTextPublication details: New York : McGraw Hill Education, c2015Edition: Tenth EditionDescription: xxx, 1010 pages : illustrations ; 26 cmISBN:
  • 9789814738903
Subject(s): LOC classification:
  • T 57.6 .H55 2015
Contents:
Preface -- 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 the simplex method -- Chapter 6: Duality theory -- Chapter 7: Linear programming under uncertainty -- Chapter 8: Other algorithms for linear programming -- Chapter 9: The transportation and assignment problems -- Chapter 10: Network optimization models -- Chapter 11: Dynamic programming -- Chapter 12: Integer programming -- Chapter 13: nonlinear programming -- Chapter 14: metaheuristics -- Chapter 15: Game theory -- Chapter 16: Decision analysis -- Chapter 17: Queuing theory -- Chapter 18: Inventory theory -- Chapter 19: Markov decision processes -- Chapter 20: Simulation -- Appendices -- Indexes.
Summary: "The book begins by providing an overview of OR, its history, and its significant applications. It then delves into the various mathematical techniques used in OR, such as linear programming, network models, and integer programming."
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Holdings
Item type Current library Call number Materials specified Status Date due Barcode
Books Books NU Clark Circulation GC T 57.6 .H55 2015 (Browse shelf(Opens below)) Available NUCLA000001161

Includes index.

Preface -- 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 the simplex method -- Chapter 6: Duality theory -- Chapter 7: Linear programming under uncertainty -- Chapter 8: Other algorithms for linear programming -- Chapter 9: The transportation and assignment problems -- Chapter 10: Network optimization models -- Chapter 11: Dynamic programming -- Chapter 12: Integer programming -- Chapter 13: nonlinear programming -- Chapter 14: metaheuristics -- Chapter 15: Game theory -- Chapter 16: Decision analysis -- Chapter 17: Queuing theory -- Chapter 18: Inventory theory -- Chapter 19: Markov decision processes -- Chapter 20: Simulation -- Appendices -- Indexes.

"The book begins by providing an overview of OR, its history, and its significant applications. It then delves into the various mathematical techniques used in OR, such as linear programming, network models, and integer programming."

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