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Titlebook: Stochastic Algorithms: Foundations and Applications; International Sympos Kathleen Steinhöfel Conference proceedings 2001 Springer-Verlag B

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书目名称Stochastic Algorithms: Foundations and Applications
副标题International Sympos
编辑Kathleen Steinhöfel
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Stochastic Algorithms: Foundations and Applications; International Sympos Kathleen Steinhöfel Conference proceedings 2001 Springer-Verlag B
描述SAGA 2001, the ?rst Symposium on Stochastic Algorithms, Foundations and Applications, took place on December 13–14, 2001 in Berlin, Germany. The present volume comprises contributed papers and four invited talks that were included in the ?nal program of the symposium. Stochastic algorithms constitute a general approach to ?nding approximate solutions to a wide variety of problems. Although there is no formal proof that stochastic algorithms perform better than deterministic ones, there is evidence by empirical observations that stochastic algorithms produce for a broad range of applications near-optimal solutions in a reasonable run-time. The symposium aims to provide a forum for presentation of original research in the design and analysis, experimental evaluation, and real-world application of stochastic algorithms. It focuses, in particular, on new algorithmic ideas invo- ing stochastic decisions and exploiting probabilistic properties of the underlying problem domain. The program of the symposium re?ects the e?ort to promote cooperation among practitioners and theoreticians and among algorithmic and complexity researchers of the ?eld. In this context, we would like to express ou
出版日期Conference proceedings 2001
关键词Erfüllbarkeitsproblem der Aussagenlogik; Stochastic algorithms; Variable; algorithms; approximation; calc
版次1
doihttps://doi.org/10.1007/3-540-45322-9
isbn_softcover978-3-540-43025-4
isbn_ebook978-3-540-45322-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2001
The information of publication is updating

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Conference proceedings 2001nt volume comprises contributed papers and four invited talks that were included in the ?nal program of the symposium. Stochastic algorithms constitute a general approach to ?nding approximate solutions to a wide variety of problems. Although there is no formal proof that stochastic algorithms perfo
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Randomized Communication Protocols,s established itself as a powerful instrument for the study of randomization in complexity theory. The aim of this work is to survey the fundamental results about randomized communication complexity with the focus on the comparison of the efficiency of deterministic, nondeterministic and randomized communication.
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Yet Another Local Search Method for Constraint Solving,ch in order to prevent stagnation in local minima and loops. This method is generic, can apply to a large class of constraints (e.g. linear and non-linear arithmetic constraints, symbolic constraints, etc) and naturally copes with over-constrained problems. Preliminary results on some classical CSP problems show very encouraging performances.
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Stochastic Finite Learning, particular learning stage whether or not it has already been successful. Such an uncertainty may be not acceptable in many applications. The present paper surveys the new approach to overcome this uncertainty that potentially has a wide range of applicability.
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