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Titlebook: Experimental Algorithms; 6th International Wo Camil Demetrescu Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2007 Simulatio

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書目名稱Experimental Algorithms
副標(biāo)題6th International Wo
編輯Camil Demetrescu
視頻videohttp://file.papertrans.cn/319/318796/318796.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Experimental Algorithms; 6th International Wo Camil Demetrescu Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2007 Simulatio
描述.This book constitutes the refereed proceedings of the 6th International Workshop on Experimental and Efficient Algorithms, WEA 2007, held in Rome, Italy, in June 2007...The 30 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 121 submissions. Fostering and disseminating high quality research results focused on the experimental analysis of algorithms the papers are devoted to the design, analysis, implementation, experimental evaluation, and engineering of efficient algorithms. Among the application areas addressed are most fields applying advanced algorithmic techniques, such as combinatorial optimization, approximation, graph theory, discrete mathematics, data mining, simulation, cryptography and security, scheduling, searching, sorting, string matching, coding, networking, etc..
出版日期Conference proceedings 2007
關(guān)鍵詞Simulation; algorithm; algorithmic mathematics; algorithmics; algorithms; algorithms analysis; algorithms
版次1
doihttps://doi.org/10.1007/978-3-540-72845-0
isbn_softcover978-3-540-72844-3
isbn_ebook978-3-540-72845-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
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The Revival of the Minority-Alliance,ts. Our preprocessing and side computation costs are the same as for AESA. We propose several improvements, achieving e.g. .(..) construction cost for some 0?
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An Alternative Ranking Problem for Search Enginess of experiments comparing these algorithms on several datasets and contrast them with those obtained using an AUC-maximization algorithm. We also compare training times and performance results for the on-line and batch versions, demonstrating that our on-line algorithm scales to relatively large da
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Random Models for Geometric Graphs (Abstract)irectional radio frequency and optical networks, is the ., a generalization of the random geometric graph introduced in [1]. In the setting under consideration, each node has a fixed angle . (0?
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Simple Space-Time Trade-Offs for AESAts. Our preprocessing and side computation costs are the same as for AESA. We propose several improvements, achieving e.g. .(..) construction cost for some 0?
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