Iterative regularization methods for nonlinear ill-posed problems - Kaltenbacher, Barbara (de Gruyter, 2008)
Literaturverz. S. [183] - 192
Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable under data perturbations. Those problems require a regularization, i.e., a special numerical treatment. This book presents regularization schemes which are based on iteration methods, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods