M. Dambrine

Stochastic Elliptic Inverse Problems. Solvability, Convergence Rates, Discretization, and Applications

Motivated by the necessity to identify stochastic parameters in a wide range of stochastic partial differential equations, an abstract inversion framework is designed. The stochastic inverse problem is studied in a stochastic optimization framework. The essential properties of the solution map are derived and used to p...