Negate
发表于 2025-3-21 17:52:31
书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0153233<br><br> <br><br>书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0153233<br><br> <br><br>书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0153233<br><br> <br><br>书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0153233<br><br> <br><br>书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0153233<br><br> <br><br>书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0153233<br><br> <br><br>书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0153233<br><br> <br><br>书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0153233<br><br> <br><br>书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0153233<br><br> <br><br>书目名称Algorithms for Random Generation and Counting: A Markov Chain Approach读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0153233<br><br> <br><br>
假装是我
发表于 2025-3-22 00:18:37
Markov chains and rapid mixing,ion of certain relations of unary type, where there is a considerable body of work on . (i.e., closed form) counting estimates, such results are rare in the kinds of interesting cases identified in Section 1.5. Ideally, we would like to have available some algorithmic paradigms with reasonably wide
monopoly
发表于 2025-3-22 00:45:01
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树木心
发表于 2025-3-22 04:53:47
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咽下
发表于 2025-3-22 12:13:37
Empirisch-quantitative Untersuchung,logy for doing this. Our results constitute apparently the first demonstrations of rapid mixing for Markov chains with genuinely complex structure. As corollaries, we deduce the existence of efficient approximation algorithms for two significant #P-complete counting problems.
Halfhearted
发表于 2025-3-22 13:19:56
Algorithms for Random Generation and Counting: A Markov Chain Approach
fleeting
发表于 2025-3-22 19:49:47
Algorithms for Random Generation and Counting: A Markov Chain Approach978-1-4612-0323-0
性满足
发表于 2025-3-22 22:38:44
Book 1993hmic paradigm: sim ulate a Markov chain whose states are combinatorial structures and which converges to a known probability distribution over them. This technique has applications not only in combinatorial counting and generation, but also in several other areas such as statistical physics and com
AWRY
发表于 2025-3-23 03:42:19
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misshapen
发表于 2025-3-23 06:06:04
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