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Optimization Using Linear Programming Cover

Optimization Using Linear Programming

Paid access
|Apr 2019
Print: Available at Amazon

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.
PDF ISBN: 978-1-68392-348-0 | E-Pub ISBN: 978-1-68392-346-6 | Paperback ISBN: 978-1-68392-347-3 | DOI: 10.1515/9781683923480
Publisher: Mercury Learning and Information
Copyright owner: © 2019 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2019
Language: English
Pages: 350

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