By Teofilo F. Gonzalez
ISBN-10: 1584885505
ISBN-13: 9781584885504
Starting with simple techniques, the guide provides the methodologies to layout and examine effective approximation algorithms for a wide type of difficulties, and to set up inapproximability effects for an additional classification of difficulties. It additionally discusses neighborhood seek, neural networks, and metaheuristics, in addition to multiobjective difficulties, sensitivity research, and balance. After laying this origin, the ebook applies the methodologies to classical difficulties in combinatorial optimization, computational geometry, and graph difficulties. furthermore, it explores large-scale and rising purposes in networks, bioinformatics, VLSI, online game concept, and information analysis.
Undoubtedly sparking additional advancements within the box, this instruction manual presents the basic suggestions to use approximation algorithms and metaheuristics to quite a lot of difficulties in desktop technology, operations learn, desktop engineering, and economics. Armed with this data, researchers can layout and examine effective algorithms to generate near-optimal recommendations for a variety of computational intractable problems.
Read or Download Handbook of Approximation Algorithms and Metaheuristics: Volume 1 (Chapman & Hall/CRC Computer and Information Science Series) PDF
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Handbook of Approximation Algorithms and Metaheuristics: Volume 1 (Chapman & Hall/CRC Computer and Information Science Series) by Teofilo F. Gonzalez
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