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Linear Programming
Romesh Saigal
€ 256.37
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Description for Linear Programming
Hardback. Derives both boundary (simplex) and interior point methods from the complementary slackness theorem and the duality theorem is derived from Farkas' Lemma, which is proved as a convex separation theorem. Series: International Series in Operations Research & Management Science. Num Pages: 342 pages, biography. BIC Classification: KJT; PBUH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 20. Weight in Grams: 1500.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
1995
Publisher
Kluwer Academic Publishers United States
Number of pages
342
Condition
New
Series
International Series in Operations Research & Management Science
Number of Pages
342
Place of Publication
Dordrecht, Netherlands
ISBN
9780792396222
SKU
V9780792396222
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Linear Programming
`I recommend this book to anyone desiring a deep understanding of the simplex method, interior-point methods, and the connections between them.' Interfaces, 27:2 (1997) The book is clearly written. ... It is highly recommended to anybody wishing to get a clear insight in the field and in the role that ... Read more