Introduction to operations research
Author(s)
Bibliographic Information
Introduction to operations research
McGraw-Hill, 2005
8th ed., international ed.
- : pbk
Available at / 8 libraries
-
No Libraries matched.
- Remove all filters.
Note
Previous ed.: 2001
Includes bibliographies and indexes
Description and Table of Contents
Description
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 modern OR topics. The hallmark features of this edition include solid coverage of fundamentals 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.
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 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
by "Nielsen BookData"
