Handbook of Approximation Algorithms and Metaheuristics - In 2 Parts A & B (Original Price £ 122.00)

Teofilo F. Gonzalez

ISBN 10: 1584885505 / ISBN 13: 9781584885504

Edité par Chapman and Hall/CRC, 2007

A propos de cet article

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-208243

Détails bibliographiques

Titre : Handbook of Approximation Algorithms and ...

Éditeur : Chapman and Hall/CRC

Date d'édition : 2007

Reliure : Couverture souple

Etat : New

Edition : Edition internationale

A propos de ce titre

Synopsis :

Handbook Of Approximation Algorithms And Metaheuristics - In 2 Parts A & B by Teofilo F. Gonzalez, 9781584885504 , T&F India

Présentation de l'éditeur:

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics.

Starting with basic approaches, the handbook presents the methodologies to design and analyze efficient approximation algorithms for a large class of problems, and to establish inapproximability results for another class of problems. It also discusses local search, neural networks, and metaheuristics, as well as multiobjective problems, sensitivity analysis, and stability. After laying this foundation, the book applies the methodologies to classical problems in combinatorial optimization, computational geometry, and graph problems. In addition, it explores large-scale and emerging applications in networks, bioinformatics, VLSI, game theory, and data analysis.

Undoubtedly sparking further developments in the field, this handbook provides the essential techniques to apply approximation algorithms and metaheuristics to a wide range of problems in computer science, operations research, computer engineering, and economics. Armed with this information, researchers can design and analyze efficient algorithms to generate near-optimal solutions for a wide range of computational intractable problems.