AbstractIn this paper, we introduce a new sample size technique based on the distribution of prime numbers. We implemented the technique to show the convergence of a stochastic differental equations studied in [1–3]
In this paper, we establish the almost sure convergence of d-valued sequences generated by a particu...
In the last five years, the scientific computing community has taken great interest in the so-called...
This work describes a Galerkin type method for stochastic partial differential equations of Zakai ty...
AbstractIn this paper, we introduce a new sample size technique based on the distribution of prime n...
AbstractWe analyze probabilistic convergences of random Galerkin approximations for a heat equation ...
Abstract. In this work we first focus on the Stochastic Galerkin approximation of the solution u of ...
Existence and uniqueness for semilinear stochastic evolution equations with additive noise by means ...
In this paper we discuss Monte Carlo simulation based approximations of a stochastic programming pro...
In this paper we discuss the sample average approximation (SAA) method for a class of stochastic pro...
In this work we focus on the numerical approximation of the solution u of a linear elliptic PDE with...
We investigate the rate of convergence of stochastic basis elements to the solution of a stochastic ...
In this paper the numerical solution of nonautonomous semilinear stochastic evolution equations driv...
summary:We introduce a new tool for obtaining efficient a posteriori estimates of errors of approxim...
In this work we consider quasi-optimal versions of the Stochastic Galerkin method for solving linear...
In this paper we discuss Monte Carlo simulation based approximations of a stochastic programming pro...
In this paper, we establish the almost sure convergence of d-valued sequences generated by a particu...
In the last five years, the scientific computing community has taken great interest in the so-called...
This work describes a Galerkin type method for stochastic partial differential equations of Zakai ty...
AbstractIn this paper, we introduce a new sample size technique based on the distribution of prime n...
AbstractWe analyze probabilistic convergences of random Galerkin approximations for a heat equation ...
Abstract. In this work we first focus on the Stochastic Galerkin approximation of the solution u of ...
Existence and uniqueness for semilinear stochastic evolution equations with additive noise by means ...
In this paper we discuss Monte Carlo simulation based approximations of a stochastic programming pro...
In this paper we discuss the sample average approximation (SAA) method for a class of stochastic pro...
In this work we focus on the numerical approximation of the solution u of a linear elliptic PDE with...
We investigate the rate of convergence of stochastic basis elements to the solution of a stochastic ...
In this paper the numerical solution of nonautonomous semilinear stochastic evolution equations driv...
summary:We introduce a new tool for obtaining efficient a posteriori estimates of errors of approxim...
In this work we consider quasi-optimal versions of the Stochastic Galerkin method for solving linear...
In this paper we discuss Monte Carlo simulation based approximations of a stochastic programming pro...
In this paper, we establish the almost sure convergence of d-valued sequences generated by a particu...
In the last five years, the scientific computing community has taken great interest in the so-called...
This work describes a Galerkin type method for stochastic partial differential equations of Zakai ty...
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