Linear Programming: An Introduction to Finite Improvement Algorithms (Dover Books on Mathematics) (Paperback)

Linear Programming: An Introduction to Finite Improvement Algorithms (Dover Books on Mathematics) By Daniel Solow Cover Image
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Description


Suitable for undergraduate students of mathematics and graduate students of operations research and engineering, this text covers the basic theory and computation for a first course in linear programming. In addition to substantial material on mathematical proof techniques and sophisticated computation methods, the treatment features numerous examples and exercises.
An introductory chapter offers a systematic and organized approach to problem formulation. Subsequent chapters explore geometric motivation, proof techniques, linear algebra and algebraic steps related to the simplex algorithm, standard phase 1 problems, and computational implementation of the simplex algorithm. Additional topics include duality theory, issues of sensitivity and parametric analysis, techniques for handling bound constraints, and network flow problems. Helpful appendixes conclude the text, including a new addition that explains how to use Excel to solve linear programming problems.

About the Author


Daniel Solow is Professor of Operations at the Weatherhead School of Management, Case Western Reserve University.


Product Details
ISBN: 9780486493763
ISBN-10: 0486493768
Publisher: Dover Publications
Publication Date: October 15th, 2014
Pages: 432
Language: English
Series: Dover Books on Mathematics