Abstract:
The paper is concerned with methods for solving inverse problems
of mathematical physics on supercomputers. It discusses the approach based on
the use of finite-dimensional
parametric models in the cases of both deterministic and stochastic errors.
Such methods are
proved to be highly efficient when implemented on high-performance clusters.