Geometric numerical integration of stochastic differential problems

The talk will highlight some preliminary principles of stochastic geometric numerical integration, as arisen in the literature of the last few years. In particular, the attention is focused on stochastic differential equations satisfying some characteristic invariance laws. The behaviour of stochastic multistep methods in the preservation of mean-square contractivity will be analyzed. The analysis will also be conveyed to the discretization of stochastic Hamiltonian problems and the numerical preservation of the behaviour of the expected Hamiltonian. The theoretical analysis will also be supported by selected numerical tests.

Raffaele D’Ambrosio is associate professor of numerical analysis at the University of L’Aquila.

The seminar will take place on Microsoft Teams: if you would like to attend, please write to .

This event has been updated.