Description: Linear Programming : A Modern Integrated Analysis, Hardcover by Saigal, Romesh, ISBN 0792396227, ISBN-13 9780792396222, Like New Used, Free shipping in the US Presents a unified approach to the study of boundary (simplex) and interior point methods for linear programming. Derives both classes of methods from the complementary slackness theorem, with the duality theorem derived from Farkas' lemma, which is proved as a convex separation theorem. Offers a new and inductive proof of Kantorovich's theorem related to the convergence of Newton's method, and discusses the primal, the dual, and the primal-dual affine scaling methods; the polynomial barrier method; and the projective transformation method. Includes a chapter on background material for the study of boundary methods, and a chapter detailing new methods using LQ factorization and iterative techniques. Can be used as a text in a one- or two-semester advanced graduate course on linear programming. Annotation c. by Book News, Inc., Portland, Or.
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Book Title: Linear Programming : A Modern Integrated Analysis
Number of Pages: Xiii, 342 Pages
Publication Name: Linear Programming Vol. 1 :A Modern Integrated Analysis
Language: English
Publisher: Springer
Publication Year: 1995
Subject: Operations Research, Linear & Nonlinear Programming, Applied, Optimization
Item Weight: 52.9 Oz
Type: Textbook
Author: Romesh Saigal
Subject Area: Mathematics, Business & Economics
Item Length: 9.3 in
Series: International Series in Operations Research and Management Science Ser.
Item Width: 6.1 in
Format: Hardcover