Simulation Methods
Simulation Methods is a class of computational techniques in stochastic modeling that approximate the behavior and performance of random systems by generating and analyzing synthetic sample paths or realizations from specified probabilistic models instead of deriving closed-form analytical solutions.
19.8K
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1.2M
Citations
36.6K
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5.9K
Institutions
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2017–2026
3.1K
19.8K
A Stochastic Approximation Method
Herbert Robbins, Sutton Monro · The Annals of Mathematical Statistics · 1951 · 9.6K citations · Full text
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Stanford University
Stanford, United States
68 h-index
384 publications
37.1K citations
Columbia University
New York, United States
65 h-index
247 publications
39.1K citations
University of California, Berkeley
Berkeley, United States
64 h-index
363 publications
38.9K citations

Centre National de la Recherche Scientifique
Paris, France
62 h-index
864 publications
32.8K citations
Massachusetts Institute of Technology
Cambridge, United States
60 h-index
356 publications
32.2K citations
Georgia Institute of Technology
Atlanta, United States
58 h-index
427 publications
28.5K citations
Princeton University
Princeton, United States
57 h-index
188 publications
18.5K citations

Cornell University
Ithaca, United States
55 h-index
288 publications
17.8K citations
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582 publications · 45.9K citations
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PRL · 148 publications · 38.8K citations
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233 publications · 36K citations
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143 publications · 12.6K citations
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124 publications · 14.1K citations
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