ABSTRACT

This chapter provides an extended analysis of the Lavrentiev regularization for nonlinear ill-posed problems. It presents convergence results and error bounds for the nonlinear ill-posed problems. The chapter discusses the implementation of adaptive choice rule by providing a starting point for the iteration approximating an unique solution and a parameter algorithm fulfilling a balancing principle for the problems. It also presents numerical examples for the nonlinear ill-posed problems.