Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice

Name: Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
Brand: Springer-Verlag New York Inc.
SKU: 9781475776720
Price: 423.49 PLN
Availability: InStock

Autor: Daniel Bienstock

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy

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Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground i...

Informacje o książce

Autor

Daniel Bienstock

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2013

strony

111

EAN

9781475776720

ISBN

1475776721

Enbook ID

02175450

Wydawca

Springer-Verlag New York Inc.

Waga

219

Wymiary

155 x 7 x 8

Pełny opis

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.

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