Optimization Using Linear Programming

Paperback
April 2019
9781683923473
More details
  • Publisher
    Mercury Learning & Information
  • Published
    2nd April
  • ISBN 9781683923473
  • Language English
  • Pages 350 pp.
  • Size 7" x 9"
  • Request Exam Copy
$89.95
E-Book
March 2019
9781683923466
More details
  • Publisher
    Mercury Learning & Information
  • Published
    21st March
  • ISBN 9781683923466
  • Language English
  • Pages 350 pp.
  • Size 7" x 9"
  • Request E-Exam Copy
$29.95
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March 2019
9781683923480
More details
  • Publisher
    Mercury Learning & Information
  • Published
    21st March
  • ISBN 9781683923480
  • Language English
  • Pages 350 pp.
  • Size 7" x 9"
$179.95

Designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory concepts to maximize efficiency in solving applied problems. The book emphasizes the solution of various types of linear programming problems by using different types of software, but includes the necessary definitions and theorems to master theoretical aspects of the topics presented.

Features:

  • Emphasizes the solution of various types of linear programming problems by using different kinds of software, e.g., MS-Excel, solutions of LPPs by Mathematica, MATLAB, WinQSB, and LINDO
  • Provides definitions, theorems, and procedures for solving problems and all cases related to various linear programming topics
  • Includes numerous application examples and exercises, e.g., transportation, assignment, and maximization
  • Presents numerous topics that can be used to solve problems involving systems of linear equations, matrices, vectors, game theory, simplex method, and more.

1: Basics of Linear Algebra Using MS-Excel

2: Introduction to LPPs and the Graphical Method

3: Simplex Method-I

4: Simplex Method-II

5: Duality

6: Sensitivity Analysis

7: Transportation and Transshipment Problems

8: Assignment Problems

9: Game Theory

Appendix: Use of Mathematica, MATLAB, Lindo

References

Index


A. J. Metei, PhD

A. J. Metei, PhD is a university instructor specializing in linear algebra and linear programming.

Veena Jain, PhD

Veena Jain, PhD is a university instructor specializing in linear algebra and linear programming.