Best approximation schemes for solving maximally monotone inclusion problems

Abstract:

Ewa will discuss strongly convergent schemes with applications to convex optimization problems arising in image processing.

Professor at the Polish Academy of Sciences and the Warsaw University of Technology, main interests:  variational analysis and optimization, recent research include: error bound property for vector-valued functions, differentiability of cone-convex vector-valued functions,  variational principles, dynamical systems related to  iterative schemes for  solving maximally monotone inclusions.