Linear Programming: An Introduction to Finite Improvement Algorithms by Solow, Daniel

Linear Programming: An Introduction to Finite Improvement Algorithms

Suitable for undergraduate students of mathematics and graduate students of operations research and engineering, this text covers...
BD$37.48 BMD
BD$37.48 BMD
SKU: 9780486493763
Product Type: Books
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Author: Daniel Solow
Format: Paperback
Language: English
Subtotal: BD$37.48
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Linear Programming: An Introduction to Finite Improvement Algorithms by Solow, Daniel

Linear Programming: An Introduction to Finite Improvement Algorithms

BD$37.48

Linear Programming: An Introduction to Finite Improvement Algorithms

BD$37.48
Author: Daniel Solow
Format: Paperback
Language: English
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.


Author: Daniel Solow
Publisher: Dover Publications
Published: 10/15/2014
Pages: 432
Binding Type: Paperback
Weight: 1.20lbs
Size: 8.90h x 5.90w x 0.90d
ISBN: 9780486493763

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


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