Solving Linear Ill-Posed Problems by the Approximate Inverse Method

RUBEN D. SPIES AND KARINA G. TEMPERINI

Rectorado de la Universidad Tecnológica Nacional, Buenos Aires

Conferencia; International Conference on Approximation Methods for Design and Control; 2005

Escuela de Ciencia Y tecnología, UNSAM y Facultad de Ingeniería, UBA.

The method of the approximate inverse for solving linear ill-posed problems is presented. It is shown how the molli¯cation process can be performed through the reconstruction kernel before the data are collected. Advantages and di®erences with other methods are discussed and numerical results are presented.