Results 291 to 300 of about 708,503 (346)
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2000
The written history of the Monte Carlo methods began in 1949 after the paper of Metropolis and Ulm [1949], but at that time the method had already been used for several years in secret defense projects of the United States of America for simulating the behaviour of nuclear reactors. It was definitely known to J. Von Neumann, N. Metropolis, S.M. Ulm, H.
Helmut Neunzert, Abul Hasan Siddiqi
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The written history of the Monte Carlo methods began in 1949 after the paper of Metropolis and Ulm [1949], but at that time the method had already been used for several years in secret defense projects of the United States of America for simulating the behaviour of nuclear reactors. It was definitely known to J. Von Neumann, N. Metropolis, S.M. Ulm, H.
Helmut Neunzert, Abul Hasan Siddiqi
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Random number generation and Quasi-Monte Carlo methods
CBMS-NSF Regional Conference Series in Applied Mathematics, 1992H. Niederreiter
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2009
Monte Carlo methods comprise a large and still growing collection of methods of repetitive simulation designed to obtain approximate solutions of various problems by playing games of chance. Often these methods are motivated by randomness inherent in the problem being studied (as, e.g., when simulating the random walks of “particles” undergoing ...
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Monte Carlo methods comprise a large and still growing collection of methods of repetitive simulation designed to obtain approximate solutions of various problems by playing games of chance. Often these methods are motivated by randomness inherent in the problem being studied (as, e.g., when simulating the random walks of “particles” undergoing ...
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Sequential Monte Carlo Methods in Practice
Technometrics, 2003Pradipta Sarkar
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Sequential Monte Carlo Methods in Practice
Statistics for Engineering and Information Science, 2001A. Doucet, Nando de Freitas, N. Gordon
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Monte Carlo Sampling Methods Using Markov Chains and Their Applications
, 1970W. Hastings
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On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and computing, 2000A. Doucet, S. Godsill, C. Andrieu
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Molecular imaging in oncology: Current impact and future directions
Ca-A Cancer Journal for Clinicians, 2022Steven P Rowe, Martin G Pomper
exaly
2006
Abstract Starting with this chapter, we embark on a journey into the fascinating realms of statistical mechanics and computational physics. We set out to study a host of classical and quantum problems, all of value as models and with numerous applications and generalizations.
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Abstract Starting with this chapter, we embark on a journey into the fascinating realms of statistical mechanics and computational physics. We set out to study a host of classical and quantum problems, all of value as models and with numerous applications and generalizations.
openaire +1 more source