Linear Programming

Mathematics, Theory and Algorithms

M.J. Panik

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English

Springer-Verlag New York Inc.
26 January 2012

Economics; Business mathematics & systems; Linear programming; Maths for engineers

Series: Applied Optimization

Linear Programming provides an in-depth look at simplex

based as well as the more recent interior point techniques for solving

linear programming problems. Starting with a review of the

mathematical underpinnings of these approaches, the text provides

details of the primal and dual simplex methods with the

primal-dual, composite, and steepest edge simplex algorithms.

This then is followed by a discussion of interior point techniques,

including projective and affine potential reduction, primal and dual

affine scaling, and path following algorithms. Also covered is the

theory and solution of the linear complementarity problem using both

the complementary pivot algorithm and interior point routines. A

feature of the book is its early and extensive development and use of

duality theory.

Audience: The book is written for students in the areas of

mathematics, economics, engineering and management science, and

professionals who need a sound foundation in the important and dynamic

discipline of linear programming.

By: M.J. Panik
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: Softcover reprint of the original 1st ed. 1996
Volume: 2
Dimensions: Height: 240mm, Width: 160mm, Spine: 26mm
Weight: 809g
ISBN: 9781461334361
ISBN 10: 1461334365
Series: Applied Optimization
Pages: 498
Publication Date: 26 January 2012
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Paperback
Publisher's Status: Active

Reviews for Linear Programming: Mathematics, Theory and Algorithms

... a carefully written textbook in a clear style. It is a very informative introduction to this field and may be recommended to students as well as to everybody interested in this special field of applied mathematics.' Optimization, 43 (1998)