Description: Linear Programming : Mathematics, Theory and Algorithms, Paperback by Panik, M. J., ISBN 1461334365, ISBN-13 9781461334361, Brand New, Free shipping in the US 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 th is its early and extensive development and use of duality theory. Audience: Th 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.
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Book Title: Linear Programming : Mathematics, Theory and Algorithms
Number of Pages: Xii, 498 Pages
Publication Name: Linear Programming : Mathematics, Theory and Algorithms
Language: English
Publisher: Springer
Subject: Operations Research, Linear & Nonlinear Programming, Econometrics, Optimization
Publication Year: 2012
Type: Textbook
Item Weight: 28.5 Oz
Subject Area: Mathematics, Business & Economics
Item Length: 9.4 in
Author: M. J. Panik
Item Width: 6.3 in
Series: Applied Optimization Ser.
Format: Trade Paperback
