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In this paper, we aim to compute numerical approximation integral by using anadaptive Monte Carlo algorithm. We propose a stratified sampling algorithmbased on an iterative method which splits the strata following some quantitiescalled indicators which indicate where the variance takes relative big values.The stratification method is based on the optimal allocation strategy in orderto decrease the variance from iteration to another. Numerical experiments showand confirm the efficiency of our algorithm.

Adaptive stratified monte carlo algorithm for numerical computation of integrals