Operations Research : An Introduction / Edition 6

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More About This Textbook

Overview

The sixth edition of Operations Research: An Introduction continues to provide readers with a balanced presentation of the theory, applications and computations of operations research. KEY TOPICS: The book uses case studies, accompanying software, and comprehensive exercises to explain the basics of operations research techniques. It includes much new material: Floyd's Shortest Route Algorithm, Goal Programming, Analytic Hierarchy Approach, Review of Probability, Probabilistic DP, Simulation Modeling, as well as updated versions of TORA software and the simulation language SIMNET II. A valuable reference book for professionals in a variety of fields, including Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.
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Editorial Reviews

From The Critics
This textbook introduces deterministic models, probabilistic models, and nonlinear models of decision making and problem solving. Example applications of the Tora, Excel, Lingo, and Ampl programs are integrated throughout the book. The seventh edition adds sections on the generalized simplex method, PERT networks, and solution of the traveling salesperson problem. Annotation c. Book News, Inc., Portland, OR
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Product Details

  • ISBN-13: 9780132729154
  • Publisher: Pearson Education
  • Publication date: 12/27/1996
  • Edition description: Older Edition
  • Edition number: 6
  • Pages: 916
  • Product dimensions: 7.23 (w) x 9.50 (h) x 1.64 (d)

Table of Contents

Preface
About the Author
Ch. 1 What Is Operations Research? 1
Ch. 2 Introduction to Linear Programming 11
Ch. 3 The Simplex Method 71
Ch. 4 Duality and Sensitivity Analysis 115
Ch. 5 Transportation Model and Its Variants 165
Ch. 6 Network Models 213
Ch. 7 Advanced Linear Programming 289
Ch. 8 Goal Programming 347
Ch. 9 Integer Linear Programming 361
Ch. 10 Deterministic Dynamic Programming 401
Ch. 11 Deterministic Inventory Models 429
Ch. 12 Review of Basic Probability 463
Ch. 13 Forecasting Models 491
Ch. 14 Decision Analysis and Games 503
Ch. 15 Probabilistic Dynamic Programming 547
Ch. 16 Probabilistic Inventory Models 559
Ch. 17 Queuing Systems 579
Ch. 18 Simulation Modeling 639
Ch. 19 Markovian Decision Process 675
Ch. 20 Classical Optimization Theory 701
Ch. 21 Nonlinear Programming Algorithms 731
App. A Review of Vectors and Matrices 765
App. B TORA Primer 779
App. C: Statistical Tables 785
App. D: Partial Answers to Selected Problems 789
Index 825
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Sort by: Showing all of 2 Customer Reviews

  • Anonymous

    Posted June 30, 2007

    Great but you need to know your math

    To make things clear: you need a first-year course in calculus, including matrix algebra, behind you to use this book. Taha explains the concepts very well, his writing style is very direct too, but it all depends on how grounded you are in calculus and matrix algebra. Compared to another great book on operations research, Whinston's 'Operations Research', this book by Taha has fewer pages to work through, but in terms of content-coverage its about the same. Taha is more to the point than Whinston. Personally I prefered Whinston's writing style, but they are both good so its a matter of taste: if you like a direct explanatory approach and learning-by-doing approach I would recommend Taha, if you like a more theortical and softer explanatory approach then I'd go for Whinston.

    Was this review helpful? Yes  NoThank you for your feedback.   Report this reviewThank you, this review has been flagged.

  • Anonymous

    Posted April 11, 2011

    No text was provided for this review.

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