Regularization Theory for Ill-posed Problems: Selected Topics

by Shuai Lu, Sergei V Pereverzev

This monograph is a valuable contribution to the highly topical and extremly productive field of regularisation methods for inverse and ill-posed problems. The author is an internationally outstanding and accepted mathematician in this field. In his book he offers a well-balanced mixture of basic and innovative aspects. He demonstrates new, differentiated viewpoints, and important examples for applications. The book demontrates the current developments in the field of regularization theory, such as multiparameter regularization and regularization in learning theory.  The book is written for graduate and PhD students and researchers in mathematics, natural sciences, engeneering, and medicine.

303 pages, Hardcover

First published July 16, 2013