Iterative Regularization Methods for Nonlinear Ill-Posed Problems

Iterative Regularization Methods for Nonlinear Ill-Posed Problems Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, that is they are unstable under data perturbations. Those problems require a regularization, that is a special numerical treatment. This book presents regularization schemes which are based on iteration methods. Autor: Barbara Kaltenbacher, Andreas Neubauer Wydawnictwo: De Gruyter Rok wydania: 2008 Okładka: twarda Liczba stron: 202 Wymiary: 17.8 x 25.1 x 2 cm Język: angielski ISBN: 9783110204209