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Volumn 12, Issue 1, 2010, Pages 1-50

Randomized algorithms with splitting: Why the classic randomized algorithms do not work and how to make them work

Author keywords

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

Indexed keywords


EID: 77951294699     PISSN: 13875841     EISSN: 15737713     Source Type: Journal    
DOI: 10.1007/s11009-009-9126-6     Document Type: Article
Times cited : (19)

References (16)
  • 3
    • 53849145307 scopus 로고    scopus 로고
    • An efficient algorithm for rare-event probability estimation, combinatorial optimization, and counting
    • Botev ZI, Kroese DP (2008) An efficient algorithm for rare-event probability estimation, combinatorial optimization, and counting. Methodol Comput Appl Probab 10: 471-505.
    • (2008) Methodol Comput Appl Probab , vol.10 , pp. 471-505
    • Botev, Z.I.1    Kroese, D.P.2
  • 8
    • 0002734597 scopus 로고
    • Estimation of particle transmission by random sampling
    • Kahn H, Harris TE (1951) Estimation of particle transmission by random sampling. Natl Bur Stand Appl Math Ser 12: 27-30.
    • (1951) Natl Bur Stand Appl Math Ser , vol.12 , pp. 27-30
    • Kahn, H.1    Harris, T.E.2
  • 12
    • 0004020933 scopus 로고    scopus 로고
    • 4th edn., London: Academic
    • Ross SM (2006) Simulation, 4th edn. Academic, London.
    • (2006) Simulation
    • Ross, S.M.1
  • 14
    • 70350075401 scopus 로고    scopus 로고
    • The Gibbs cloner for combinatorial optimization, counting and sampling
    • (in press)
    • Rubinstein RY (2009) The Gibbs cloner for combinatorial optimization, counting and sampling. Methodol Comput Appl Probab (in press).
    • (2009) Methodol Comput Appl Probab
    • Rubinstein, R.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.