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Volumn 11, Issue 4, 2009, Pages 491-549

The gibbs cloner for combinatorial optimization, counting and sampling

Author keywords

Combinatorial optimization; Counting; Cross entropy; Gibbs sampler; Importance sampling; Rare event

Indexed keywords


EID: 70350075401     PISSN: 13875841     EISSN: 15737713     Source Type: Journal    
DOI: 10.1007/s11009-008-9101-7     Document Type: Article
Times cited : (26)

References (19)
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  • 5
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  • 6
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    • Three examples of the Markov chain Monte Carlo method
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  • 7
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    • Semi-iterative minimum cross-entropy algorithms for rare-events, counting, combinatorial and integer programing
    • Rubinstein RY (2008a) Semi-iterative minimum cross-entropy algorithms for rare-events, counting, combinatorial and integer programing. Methodol Comput Appl Probab (2):1-45
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  • 14
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    • Entropy and cloning methods for combinatorial optimization, sampling and counting using the gibbs sampler
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    • Rubinstein RY, Kroese DP, Dolgin A, Glynn PW (2007) Parametric minimum cross-entropy method for counting the number of satisfiability assignments. Manuscript, Technion, Israel
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  • 19
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    • Adaptive simulated annealing: A near-optimal connection between sampling and counting
    • FOCS
    • Stefankovic D, Vempala S, Vigoda E (2007) Adaptive simulated annealing: a near-optimal connection between sampling and counting. FOCS
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    • Stefankovic, D.1    Vempala, S.2    Vigoda, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.