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Handbook of Approximation Algorithms and Metaheuristics (Chapman & Hall/CRC Computer and Information Science Series) by Gonzalez T.F. (ed.) is a nonfiction available to read on EtoBox.

What is Handbook of Approximation Algorithms and Metaheuristics (Chapman & Hall/CRC Computer and Information Science Series) about?

<p><P>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. <P>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.<P>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, comput

Who reads Handbook of Approximation Algorithms and Metaheuristics (Chapman & Hall/CRC Computer and Information Science Series)?

Author

Gonzalez T.F. (ed.)

Publisher

Chapman & Hall/CRC Press

Published

2007

Language

EN

ISBN

9781584885504

Category

nonfiction

Subjects

Engineering, Mathematics, Computer Science