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Titlebook: Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques; Third International Dorit S. Hochbaum,Klaus Janse

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書目名稱Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques
副標(biāo)題Third International
編輯Dorit S. Hochbaum,Klaus Jansen,Alistair Sinclair
視頻videohttp://file.papertrans.cn/822/821119/821119.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques; Third International  Dorit S. Hochbaum,Klaus Janse
出版日期Conference proceedings 1999
關(guān)鍵詞Approximation Algorithms; Combinatorial Approximation; Complexity; Randomization; Scheduling; algorithms;
版次1
doihttps://doi.org/10.1007/b72324
isbn_softcover978-3-540-66329-4
isbn_ebook978-3-540-48413-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1999
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Completeness and Robustness Properties of Min-Wise Independent Permutationse intersection of sets based on testing equality of samples yields an equivalent min-wise independent family. Thus, in a certain sense, min-wise independent families are “complete” for this type of estimation..We also discuss the notion of robustness, a concept extending min-wise independence to all
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Low Discrepancy Sets Yield Approximate Min-Wise Independent Permutation Familiesultiset?. of permutations of {0,1, ... , .–1} is such a family if for all . ? {0,1, ..., .–1} and any . ∈ ., a permutation . chosen uniformly at random form?. statisfies....We show connections of such families with ., and give explicit constructions of such families . of size . for . = 1 / .., impro
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Independent Sets in Hypergraphs with Applications to Routing Via Fixed Pathsnce ratio of deterministic vs. randomized and non-preemptive vs. preemptive algorithms. Applying these results we prove bounds for the performance of online algorithms for routing problems via fixed paths over networks.
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A Polynomial Time Approximation Scheme for the Multiple Knapsack Problemlected such that the items in this subset can be packed into . knapsacks of equal capacities and such that the total profit of all items in the knapsacks is maximized. For . (MKP) reduces to the classical 0-1 single knapsack problem. It is known that (MKP) admits no fully polynomial-time approximati
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