Linear Programming: an Introduction to Finite Improvement Algorithms: Second Edition

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Daniel Solow

Linear Programming

an Introduction to Finite Improvement Algorithms: Second Edition

Daniel Solow

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English

Dover Publications Inc.
15 October 2014

Mathematics & Sciences; Linear programming

Series: Dover Books on Mathema 1.4tics

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 organised 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.

By: Daniel Solow
Imprint: Dover Publications Inc.
Country of Publication: United States [Currently unable to ship to USA: see Shipping Info]
Edition: 2nd Revised edition
Dimensions: Height: 228mm, Width: 24mm, Spine: 153mm
Weight: 575g
ISBN: 9780486493763
ISBN 10: 0486493768
Series: Dover Books on Mathema 1.4tics
Pages: 432
Publication Date: 15 October 2014
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Unspecified

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