Analytic-numerical approximating processes of diffusion equation with data uncertainty

This paper deals with the construction of approximating processes for solving mixed problems related to the diffusion equation where the initial condition is assumed to be a stochastic process and the diffusion coefficient is a random variable. Expectation and standard deviation of the approximation processes are given.