Monte Carlo Algorithms for Linear Problems
Data(s) |
10/12/2013
10/12/2013
2000
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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 |
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 |