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

By: Hillier, Frederick S.
Contributor(s): Lieberman, Gerald J.
Material type: materialTypeLabelBookPublisher: London : McGraw-Hill, 1990Edition: 5th ed.Description: 954 p. : ill. ; 24cm. + pbk.ISBN: 0071007458.Subject(s): Operations researchDDC classification: 658.4034
Contents:
Part 1: Introduction -- The nature of operations research -- Overview of the operations research modeling approach -- Part 2: Linear programming -- Introduction to linear programming -- Solving linear programming problems: The simplex method -- The theory of the simplex method -- Duality theory and sensitivity analysis -- Special types of linear programming problems -- Formulating linear programming models, including goal programming -- Other algorithms for linear programming -- Part 3: Mathematical programming -- Network analysis, including PERT-CPM -- Dynamic programming -- Game theory -- Integer programming -- Nonlinear programming -- Part 4: Probabilistic models -- Markov chains -- Queueing theory -- The application of queueing theory -- Inventory theory -- Forecasting -- Markovian decision processes and applications -- Reliability -- Decision analysis -- Simulation.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 658.4034 (Browse shelf(Opens below)) 1 Available 00012501
Total holds: 0

Enhanced descriptions from Syndetics:

"Available July 31, 2004" The 8th edition of" Introduction to Operations Research" remains the classic operations research text while 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. This edition will also feature the latest developments in OR, such as metaheuristics, simulation, and spreadsheet modeling.

With answers to selected problems.

Includes bibliographical references and indexes.

Part 1: Introduction -- The nature of operations research -- Overview of the operations research modeling approach -- Part 2: Linear programming -- Introduction to linear programming -- Solving linear programming problems: The simplex method -- The theory of the simplex method -- Duality theory and sensitivity analysis -- Special types of linear programming problems -- Formulating linear programming models, including goal programming -- Other algorithms for linear programming -- Part 3: Mathematical programming -- Network analysis, including PERT-CPM -- Dynamic programming -- Game theory -- Integer programming -- Nonlinear programming -- Part 4: Probabilistic models -- Markov chains -- Queueing theory -- The application of queueing theory -- Inventory theory -- Forecasting -- Markovian decision processes and applications -- Reliability -- Decision analysis -- Simulation.

Table of contents provided by Syndetics

  • 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 and Sensitivity Analysis
  • 7 Other Algorithms for Linear Programming
  • 8 The Transportation and Assignment Problems
  • 9 Network Optimization Models
  • 10 Dynamic Programming
  • 11 Integer Programming
  • 12 Nonlinear Programming
  • 13 Metaheuristics
  • 14 Game Theory
  • 15 Decision Analysis
  • 16 Markov Chains
  • 17 Queueing Theory
  • 18 Inventory Theory
  • 19 Markov Decision Processes
  • 20 Simulation
  • Appendix 1 Documentation for the OR Courseware
  • Appendix 2 Convexity
  • Appendix 3 Classical Optimization Methods
  • Appendix 4 Matrices and Matrix Operations
  • Appendix 5 Table for a Normal Distribution Supplements on the CD-ROM and the Online Learning Center
  • Additional Cases
  • Supplement to Appendix 3.1
  • More about LINGO
  • Supplement to Chapter 7 Linear Goal Programming and Its Solution Procedures
  • Supplement to Chapter 8 A Case Study with Many Transportation Problems
  • Supplement 1 to Chapter 18 Derivation of the Optimal Policy for the Stochastic Single-Period Model for Perishable Products
  • Supplement 2 to Chapter 18 Stochastic Periodic-Review Models
  • Supplement 1 to Chapter 20 Variance-Reducing Techniques
  • Supplement 2 to Chapter 20 Regenerative Method of Statistical Analysis
  • 21 The Art of Modeling with Spreadsheets
  • 22 Project Management with PERT/CPM
  • 23 Additional Special Types of Linear Programming Problems
  • 24 Probability Theory
  • 25 Reliability
  • 26 The Application of Queueing Theory
  • 27 Forecasting
  • 28 Examples of Performing Simulations on Spreadsheets with Crystal Ball
  • Appendix 6 Simultaneous Linear Equations

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