We addresses one of the key problems of image processing, which is restoration of a latent image from its degraded observations. As the main source of degradation we consider convolution with a unknown blur. The restoration task is a blind deconvolution problem, which is intrinsically ill-posed.

The aim of this project is to develop reliable, theoretically supported, simulation tools for damage processes in quasi-brittle materials at small strains driven by mechanical and transport phenomena.

The project will theoretically and empirically investigate the effects that systemic, mostly supranational financial shocks and policy responses (local and global) to these shocks have on behavior, economic performance and welfare of the private sector in open economies. We want to contribute to answering the following questions: (a) What type of economic integration, i.e.

The application of algebraic and geometric methods is one of the present trends in modern statistics. The aim of the project is to apply the methods of combinatorial optimization to problems with motivation in statistics and artificial intelligence.

Project deals with novel advanced methods for global analysis and control design for decomposed strongly nonlinear state space dynamical models with complex interactions of their components. Focus will be made on multivalued uncertain dynamical systems, especially the multivalued systems class that might be called as the "systems of systems".