Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,238,536 papers from all fields of science
Search
Sign In
Create Free Account
Monte Carlo method
Known as:
Monte Carlo simulations
, Monte-Carlo simulation
, Monte Carlo simulation technique
Expand
Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated random sampling to obtain…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
50 relations
ASTAP
Agent-based model
Ambient occlusion
Analog signal
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models
O. Papaspiliopoulos
,
G. Roberts
2007
Corpus ID: 15797704
Inference for Dirichlet process hierarchical models is typically performed using Markov chain Monte Carlo methods, which can be…
Expand
Highly Cited
2007
Highly Cited
2007
Monte Carlo Methods in PageRank Computation: When One Iteration is Sufficient
Konstantin Avrachenkov
,
N. Litvak
,
Danil Nemirovsky
,
N. Osipova
SIAM Journal on Numerical Analysis
2007
Corpus ID: 14819988
PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency…
Expand
Highly Cited
2004
Highly Cited
2004
FAST MONTE CARLO ALGORITHMS FOR MATRICES II: COMPUTING A LOW-RANK APPROXIMATION TO A MATRIX∗
P. Drineas
,
R. Kannan
,
Michael W. Mahoney
2004
Corpus ID: 5453786
In many applications, the data consist of (or may be naturally formulated as) an m×n matrix A. It is often of interest to find a…
Expand
Highly Cited
2002
Highly Cited
2002
A Monte Carlo algorithm for fast projective clustering
Cecilia M. Procopiuc
,
Michael Jones
,
P. Agarwal
,
T. M. Murali
ACM SIGMOD Conference
2002
Corpus ID: 9830896
We propose a mathematical formulation for the notion of optimal projective cluster, starting from natural requirements on the…
Expand
Review
1998
Review
1998
Monte Carlo techniques in computational stochastic mechanics
J. Hurtado
,
A. Barbat
1998
Corpus ID: 56313477
SummaryA state of the art on simulation methods in stochastic structural analysis is presented. The purpose of the paper is to…
Expand
Highly Cited
1996
Highly Cited
1996
Three-dimensional forest light interaction model using a Monte Carlo method
P. North
IEEE Transactions on Geoscience and Remote…
1996
Corpus ID: 26314816
A model for light interaction with forest canopies is presented, based on Monte Carlo simulation of photon transport. A hybrid…
Expand
Review
1996
Review
1996
Shell model Monte Carlo methods
S. Koonin
,
D. Dean
,
K. Langanke
1996
Corpus ID: 18177024
We review quantum Monte Carlo methods for dealing with large shell model problems. These methods reduce the imaginary-time many…
Expand
Highly Cited
1991
Highly Cited
1991
Monte Carlo methods in boundary value problems
Karl Karlovich Sabelʹfelʹd
1991
Corpus ID: 117752869
General Schemes for Constructing Scalar and Vector Monte Carlo Algorithms for Solving Boundary Value Problems: Random Walks on…
Expand
Highly Cited
1981
Highly Cited
1981
Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
R. Rubinstein
,
Dirk P. Kroese
1981
Corpus ID: 59927002
* The authoritative resource for understanding the power behind Monte Carlo Methods. * Most ideas are introduced and explained…
Expand
Review
1980
Review
1980
MONTE-CARLO SIMULATION IN AN ENGINEERING CONTEXT
G. Bird
1980
Corpus ID: 62543757
The computational and physical requirements for the successful application of the direct simulation Monte-Carlo method to typical…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE