Linear programming : an introduction to finite improvement algorithms / Daniel Solow.

By:

Solow, Daniel [author.]

Material type: Text

TextPublisher: Mineola, New York : Dover Publications, Inc., [2014]Edition: 2nd edDescription: xv, 414 p. : ill. ; 23 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780486493763 (paperback)
0486493768 (paperback)

Subject(s):

DDC classification:

519.72 SLO 23

LOC classification:

T57.74 .S653 2014

Other classification:

MAT017000

Summary: "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"-- Provided by publisher.

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Item type	Current library	Shelving location	Call number	Status	Date due	Barcode
Books	Main Library	Open Shelves	519.72 SLO (Browse shelf(Opens below))	Available		2021-0305
Books	Main Library	Open Shelves	519.72 SLO (Browse shelf(Opens below))	Available		2021-0306

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"Second edition."

Includes bibliographical references and index.

"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"-- Provided by publisher.

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