Interior Point Techniques in Optimization

Name: Interior Point Techniques in Optimization
Brand: Springer-Verlag New York Inc.
SKU: 9781441947727
Price: 149.91 EUR
Availability: InStock

Complementarity, Sensitivity and Algorithms

Autor: B. Jansen

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer-Verlag New York Inc.

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149.91 €

Operations research and mathematical programming would not be as advanced today without the many adv...

Informácie o knihe

Autor

B. Jansen

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2010

Stránok

280

EAN

9781441947727

ISBN

1441947728

Enbook ID

05257138

Vydavateľ

Springer-Verlag New York Inc.

Hmotnosť

456

Rozmery

155 x 235 x 17

Kompletný popis

Operations research and mathematical programming would not be as advanced today without the many advances in interior point methods during the last decade. These methods can now solve very efficiently and robustly large scale linear, nonlinear and combinatorial optimization problems that arise in various practical applications. The main ideas underlying interior point methods have influenced virtually all areas of mathematical programming including: analyzing and solving linear and nonlinear programming problems, sensitivity analysis, complexity analysis, the analysis of Newton's method, decomposition methods, polynomial approximation for combinatorial problems etc. This book covers the implications of interior techniques for the entire field of mathematical programming, bringing together many results in a uniform and coherent way. For the topics mentioned above the book provides theoretical as well as computational results, explains the intuition behind the main ideas, gives examples as well as proofs, and contains an extensive up-to-date bibliography. Audience: The book is intended for students, researchers and practitioners with a background in operations research, mathematics, mathematical programming, or statistics.

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Interior Point Techniques in Optimization

Complementarity, Sensitivity and Algorithms

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Kompletný popis

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