Linear Programming A Modern Integrated Analysis(1st Edition)

Authors:

Romesh Saigal

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

Shipment time

Expected shipping within 2 - 3 Days
Access to 35 Million+ Textbooks solutions Free
Ask Unlimited Questions from expert AI-Powered Answers 30 Min Free Tutoring Session
7 days-trial

Total Price:

$148.33

List Price: $211.90 Savings: $63.57 (30%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Linear Programming A Modern Integrated Analysis

Price:

$9.99

/month

Book details

ISBN: 0792396227, 978-0792396222

Book publisher: Springer

Book Price $148.33 : 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.