Monte Carlo Algorithms for Linear Problems


Autoria(s): Dimov, Ivan
Data(s)

10/12/2013

10/12/2013

2000

Resumo

MSC Subject Classification: 65C05, 65U05.

Monte Carlo methods are a powerful tool in many fields of mathematics, physics and engineering. It is known, that these methods give statistical estimates for the functional of the solution by performing random sampling of a certain chance variable whose mathematical expectation is the desired functional. Monte Carlo methods are methods for solving problems using random variables. In the book [16] edited by Yu. A. Shreider one can find the following definition of the Monte Carlo method.

Identificador

Pliska Studia Mathematica Bulgarica, Vol. 13, No 1, (2000), 57p-77p

0204-9805

http://hdl.handle.net/10525/2162

Idioma(s)

en

Publicador

Institute of Mathematics and Informatics Bulgarian Academy of Sciences

Palavras-Chave #Monte Carlo Algorithms #Linear Problems #Boundary Value Problem #Efficiency Estimator #Markov Chain #Parallel Algorithms
Tipo

Article