Well Posedness And Convergence Of Some Regularization Methods For Nonlinear Ill Posed Problems


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Well-posedness and Convergence of Some Regularization Methods for Nonlinear Ill-posed Problems


Well-posedness and Convergence of Some Regularization Methods for Nonlinear Ill-posed Problems

Author: Thomas I. Seidman

language: en

Publisher:

Release Date: 1986


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Ill-Posed and Inverse Problems


Ill-Posed and Inverse Problems

Author: Vladimir G. Romanov

language: en

Publisher: Walter de Gruyter GmbH & Co KG

Release Date: 2018-11-05


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No detailed description available for "Ill-Posed and Inverse Problems".

Handbook of Mathematical Methods in Imaging


Handbook of Mathematical Methods in Imaging

Author: Otmar Scherzer

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-11-23


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The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.