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Titlebook: Handbook of Combinatorial Optimization; Panos M. Pardalos,Ding-Zhu Du,Ronald L. Graham Reference work 2013Latest edition Springer Science+

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書目名稱Handbook of Combinatorial Optimization
編輯Panos M. Pardalos,Ding-Zhu Du,Ronald L. Graham
視頻videohttp://file.papertrans.cn/422/421050/421050.mp4
概述This second edition features 30% new additional content, additional chapters as well as updated content.Editors-in-chief are renowned members of the operations research and mathematics communities.Sub
圖書封面Titlebook: Handbook of Combinatorial Optimization;  Panos M. Pardalos,Ding-Zhu Du,Ronald L. Graham Reference work 2013Latest edition Springer Science+
描述.The second edition of this 5-volume handbook is intended to be a basic yet comprehensive reference work in combinatorial optimization that will benefit newcomers and researchers for years to come. This multi-volume?work deals with several algorithmic approaches for discrete problems as well as with many combinatorial problems. The editors have brought together almost every aspect of this enormous field of combinatorial optimization, an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communications networks, and management science. An?international team of 30-40 experts in the field form the editorial board..The .Handbook of Combinatorial Optimization, second edition. is addressed to all scientists who use combinatorial optimization methods to model and solve problems. Experts in the field as well as non-specialists will find the material stimulating and useful..
出版日期Reference work 2013Latest edition
關(guān)鍵詞Combinatorial Optimization; Handbook; Reference Work; combinatorics
版次2
doihttps://doi.org/10.1007/978-1-4419-7997-1
isbn_ebook978-1-4419-7997-1
copyrightSpringer Science+Business Media New York 2013
The information of publication is updating

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Advances in Group Testing,Suppose there is some method to test whether a subset of items contains at least one positive or not. The test result is said to be positive if it indicates that the subset contains at least one positive item; otherwise, the test result is called negative. The problem is to resolve the status of eve
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Algebrization and Randomization Methods,ch baffle people many years. In recent years, some algebrization and randomization techniques have been developed and applied in the design of algorithms, which provides a credible alternative to traditional methods. Then the testing monomials theories were developed based on above techniques, which
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Algorithms and Metaheuristics for Combinatorial Matrices,h thousands of variables. In this chapter we present a survey of some recent algorithms to search for some kinds of combinatorial matrices, with an emphasis to algorithms within the realm of optimization and metaheuristics. It is to be noted that for most kinds of combinatorial matrices there are se
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Algorithms for the Satisfiability Problem,, and some theoretical aspects of SAT. Some applications to which SAT solvers have been successfully applied are also presented. The intention is to assist someone interested in applying SAT technology in solving some stubborn class of combinatorial problems.
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Combinatorial Optimization Algorithms,eriments to determine whether a specific DNA fragment, that represents the virus, is present in a DNA solution. A probe is a segment of DNA or RNA, labeled with a radioactive isotope, dye, or enzyme, used to find a specific target sequence on a DNA molecule by hybridization. Selecting unique probes
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