Share
Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (in English)
Daniel Bienstock
(Author)
·
Springer
· Paperback
Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (in English) - Bienstock, Daniel
$ 104.20
$ 109.99
You save: $ 5.79
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Friday, June 28 and
Monday, July 01.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (in English)"
Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems. This work both has roots in fundamental areas of mathematical programming and is also framed in the context of the modern theory of algorithms. The result of this work, in which Daniel Bienstock has been very much involved, has been a family of algorithms with solid theoretical foundations and with growing experimental success. This book will examine these algorithms, starting with some of the very earliest examples, and through the latest theoretical and computational developments.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.