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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
08/08/2002 |
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Data da última atualização: |
02/08/2007 |
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Autoria: |
LIU, J. S. |
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Título: |
Monte Carlo strategies in scientific computing. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
New York: Springer, 2001. |
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Páginas: |
343 p. il. |
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Série: |
(Springer series in statistics). |
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ISBN: |
0-387-95230-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Introduction and examples. Basic principles: rejection, weighting, and others. Theory of sequential Monte Carlo. Sequential Monte Carlo in Action. Metropolis algorithm and beyond. The gibbs sampler. Cluster algorithms for the ising model. General conditional sampling. Molecular dynamics and hybrid Monte Carlo. Multilevel sampling and optimization methods. Population-based Monte Carlo methods. Markov chains and their convergence. Selected theoretical topics. Basics in probability and statistics. |
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Palavras-Chave: |
Ciência - métodos estatísticos; Computação Científica; Método Monte Carlo. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01003nam a2200181 a 4500
001 1008114
005 2007-08-02
008 2001 bl uuuu 00u1 u #d
020 $a0-387-95230-6
100 1 $aLIU, J. S.
245 $aMonte Carlo strategies in scientific computing.
260 $aNew York: Springer$c2001
300 $a343 p. il.
490 $a(Springer series in statistics).
520 $aIntroduction and examples. Basic principles: rejection, weighting, and others. Theory of sequential Monte Carlo. Sequential Monte Carlo in Action. Metropolis algorithm and beyond. The gibbs sampler. Cluster algorithms for the ising model. General conditional sampling. Molecular dynamics and hybrid Monte Carlo. Multilevel sampling and optimization methods. Population-based Monte Carlo methods. Markov chains and their convergence. Selected theoretical topics. Basics in probability and statistics.
653 $aCiência - métodos estatísticos
653 $aComputação Científica
653 $aMétodo Monte Carlo
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
