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International audienceWe analyze a Monte Carlo method using stratified sampling for approximate inte...
Abstract. Quasi-Monte Carlo methods are based on the idea that ran-dom Monte Carlo techniques can of...
AbstractThe Monte Carlo complexity of computing integrals depending on a parameter is analyzed for s...
The approximation of weighted integrals of random processes by the trapezoidal rule based on an orde...
La méthode Quasi-Monte Carlo Randomisé (RQMC) est souvent utilisée pour estimer une intégrale sur le...
Includes bibliographical references.In the world of mathematics, one of the more fundamental ideas t...
Les méthodes de Monte Carlo (MC) sont des méthodes numériques qui utilisent des nombres aléatoires p...
It is well known that Monte Carlo integration with variance reduction by means of control variates c...
Monte Carlo integration is a popular choice for multidimensional integrals. The samples can be from ...
The standard Monte Carlo approach to evaluating multi-dimensional integrals using (pseudo)-random in...
by Sze Tsz-leung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1993.Includes bibliographical re...
Monte Carlo is a versatile computational method that may be used to approximate the means, μ, of ran...
his paper will trace the history and development of a useful stochastic method for approximating cer...
International audienceMonte Carlo is one of the most versatile and widely used numerical methods. It...
Aproxima integrales de una y dos variables en recintos rectangulares mediante el método de Monte-Car...
International audienceWe analyze a Monte Carlo method using stratified sampling for approximate inte...
Abstract. Quasi-Monte Carlo methods are based on the idea that ran-dom Monte Carlo techniques can of...
AbstractThe Monte Carlo complexity of computing integrals depending on a parameter is analyzed for s...
The approximation of weighted integrals of random processes by the trapezoidal rule based on an orde...
La méthode Quasi-Monte Carlo Randomisé (RQMC) est souvent utilisée pour estimer une intégrale sur le...
Includes bibliographical references.In the world of mathematics, one of the more fundamental ideas t...
Les méthodes de Monte Carlo (MC) sont des méthodes numériques qui utilisent des nombres aléatoires p...
It is well known that Monte Carlo integration with variance reduction by means of control variates c...
Monte Carlo integration is a popular choice for multidimensional integrals. The samples can be from ...
The standard Monte Carlo approach to evaluating multi-dimensional integrals using (pseudo)-random in...
by Sze Tsz-leung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1993.Includes bibliographical re...
Monte Carlo is a versatile computational method that may be used to approximate the means, μ, of ran...
his paper will trace the history and development of a useful stochastic method for approximating cer...
International audienceMonte Carlo is one of the most versatile and widely used numerical methods. It...
Aproxima integrales de una y dos variables en recintos rectangulares mediante el método de Monte-Car...
International audienceWe analyze a Monte Carlo method using stratified sampling for approximate inte...
Abstract. Quasi-Monte Carlo methods are based on the idea that ran-dom Monte Carlo techniques can of...
AbstractThe Monte Carlo complexity of computing integrals depending on a parameter is analyzed for s...