Linear Programming : A Modern Integrated Analysis

Language: English

Published by Springer Us Nov 1995, 1995

0792396227 / 9780792396222

Series: Book 4 of 323 - International Series in Operations Research & Management Science

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - In Linear Programming: A Modern Integrated Analysis, both boundary (simplex) and interior point methods are derived from the complementary slackness theorem and, unlike most books, the duality theorem is derived from Farkas's Lemma, which is proved as a convex separation theorem. The tedium of the simplex method is thus avoided. A new and inductive proof of Kantorovich's Theorem is offered, related to the convergence of Newton's method. Of the boundary methods, the book presents the (revised) primal and the dual simplex methods. An extensive discussion is given of the primal, dual and primal-dual affine scaling methods. In addition, the proof of the convergence under degeneracy, a bounded variable variant, and a super-linearly convergent variant of the primal affine scaling method are covered in one chapter. Polynomial barrier or path-following homotopy methods, and the projective transformation method are also covered in the interior point chapter. Besides the popular sparse Cholesky factorization and the conjugate gradient method, new methods are presented in a separate chapter on implementation. These methods use LQ factorization and iterative techniques.

Seller Inventory # 9780792396222

Title
Linear Programming : A Modern Integrated Analysis
Author
Romesh Saigal
Publisher
Springer Us Nov 1995
Publication year
1995
Condition
Neu
Binding
Buch
Language
English
ISBN 10
0792396227
ISBN 13
9780792396222
Item weight
680 grams
Dimensions
234x156x21 mm
Series
Book 4 of 323: International Series in Operations Research & Management Science

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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