Computational Techniques of the Simplex Method: International Series in Operations Research & Management Science, cartea 61
Autor István Marosen Limba Engleză Hardback – 31 dec 2002
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Specificații
ISBN-13: 9781402073328
ISBN-10: 1402073321
Pagini: 350
Ilustrații: XX, 325 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.62 kg
Ediția:2003
Editura: Springer Us
Colecția Springer
Seria International Series in Operations Research & Management Science
Locul publicării:New York, NY, United States
ISBN-10: 1402073321
Pagini: 350
Ilustrații: XX, 325 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.62 kg
Ediția:2003
Editura: Springer Us
Colecția Springer
Seria International Series in Operations Research & Management Science
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
I Preliminaries.- 1. The Linear Programming Problem.- 2. The Simplex Method.- 3. Large Scale LP Problems.- II Computational Techniques.- 4. Design Principles of LP Systems.- 5. Data Structures and Basic Operations.- 6. Problem Definition.- 7. LP Preprocessing.- 8. Basis Inverse, Factorization.- 9. The Primal Algorithm.- 10. The Dual Algorithm.- 11. Various Issues.
Recenzii
"This is really a nice, long awaited book...it covers all important aspects and techniques needed for an efficient, robust implementation of the simplex method...it deserves a place on the bookshelf of every OR, optimization professional, it could be marketed as "handbook of computational techniques"."
(Tamás Terlaky, Dept. of Computing and Software, McMaster University, Hamilton, ON, Canada)
"The book will be of great interest to people developing advanced LP solver codes customized for special purposes, and solvers for integer programming and combinatorial optimization, and also for researchers working in these areas. It is an ideal textbook for graduate courses in computational mathematical programming. It deserves to be in the personal library of software engineers dealing with numerical computation involving linear constraints."
(K.G. Murty, for the American Mathematical Society, MathSciNet Mathematical Reviews on the web)
(Tamás Terlaky, Dept. of Computing and Software, McMaster University, Hamilton, ON, Canada)
"The book will be of great interest to people developing advanced LP solver codes customized for special purposes, and solvers for integer programming and combinatorial optimization, and also for researchers working in these areas. It is an ideal textbook for graduate courses in computational mathematical programming. It deserves to be in the personal library of software engineers dealing with numerical computation involving linear constraints."
(K.G. Murty, for the American Mathematical Society, MathSciNet Mathematical Reviews on the web)