On the computation of multidimensional integrals by the Monte-Carlo method
Teoriâ veroâtnostej i ee primeneniâ, Tome 16 (1971) no. 4, pp. 738-743
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It is shown that if $W(x)$ is an arbitrary non-negative function in $R^n$ then the Markov process with the transition density $$ P(x'\to x)=\int\rho(x'\to x'')\sigma(x''\to x)\,dx'' $$ where $\rho(x'\to x)$ is an arbitraty transition density and $$ \sigma(x'\to x)=\rho(x\to x')W(x)\Big/\int\rho(x\to x')W(x)\,dx $$ has the asymptotic probability density proportional to $W(x)$. Using this fact, a method for computation of multidimensional integrals is proposed.