An averaged space–time discretization of the stochastic p-Laplace system

We study the stochastic $p$-Laplace system in a bounded domain. propose two new space-time discretizations based on approximation of time-averaged values. establish linear convergence space and $1/2$ time. Additionally, we provide sampling algorithm to construct necessary random input an efficient way. The theoretical error analysis is complemented by numerical experiments.