Concepedia

Concept

monte carlo methods

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3.5K

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349.9K

Citations

7.5K

Authors

2K

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About

Monte carlo methods is a class of computational algorithms that employ repeated random sampling to obtain numerical results or model complex phenomena. Characterized by their probabilistic foundation, these methods are essential for approximating solutions to mathematical or physical problems that are analytically intractable or computationally prohibitive using deterministic techniques, such as simulating stochastic processes or estimating quantities in high-dimensional spaces.

Top Authors

Rankings shown are based on concept H-Index.

PW

Stanford University

RH

Carnegie Mellon University

AJ

National University of Singapore

GO

University of Warwick

ID

Bulgarian Academy of Sciences

Top Institutions

Rankings shown are based on concept H-Index.

Los Alamos National Laboratory

Los Alamos, United States

Stanford University

Stanford, United States

Pittsburgh, United States

University of Cambridge

Cambridge, United Kingdom