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Variational Source Conditions Quadratic Inverse Problems Sparsity Promoting Regularization New Results In Modern Theory Of Inverse Problems And An Application In Laser Optics 1st Ed Jens Flemming

  • SKU: BELL-7323658
Variational Source Conditions Quadratic Inverse Problems Sparsity Promoting Regularization New Results In Modern Theory Of Inverse Problems And An Application In Laser Optics 1st Ed Jens Flemming
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Variational Source Conditions Quadratic Inverse Problems Sparsity Promoting Regularization New Results In Modern Theory Of Inverse Problems And An Application In Laser Optics 1st Ed Jens Flemming instant download after payment.

Publisher: Springer International Publishing;Birkhäuser
File Extension: PDF
File size: 3.77 MB
Author: Jens Flemming
ISBN: 9783319952635, 9783319952642, 3319952633, 3319952641
Language: English
Year: 2018
Edition: 1st ed.

Product desciption

Variational Source Conditions Quadratic Inverse Problems Sparsity Promoting Regularization New Results In Modern Theory Of Inverse Problems And An Application In Laser Optics 1st Ed Jens Flemming by Jens Flemming 9783319952635, 9783319952642, 3319952633, 3319952641 instant download after payment.

The book collects and contributes new results on the theory and practice of ill-posed inverse problems. Different notions of ill-posedness in Banach spaces for linear and nonlinear inverse problems are discussed not only in standard settings but also in situations up to now not covered by the literature. Especially, ill-posedness of linear operators with uncomplemented null spaces is examined.Tools for convergence rate analysis of regularization methods are extended to a wider field of applicability. It is shown that the tool known as variational source condition always yields convergence rate results. A theory for nonlinear inverse problems with quadratic structure is developed as well as corresponding regularization methods. The new methods are applied to a difficult inverse problem from laser optics.Sparsity promoting regularization is examined in detail from a Banach space point of view. Extensive convergence analysis reveals new insights into the behavior of Tikhonov-type regularization with sparsity enforcing penalty.

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