Shuai Lu Sergei V. Pereverzev Lu Regularization Theory for Ill-posed Problems

Regularization Theory for Ill-posed Problems

von Shuai Lu Sergei V. Pereverzev

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Beschreibung

The Inverse and Ill-Posed Problems Series is a series of monographs publishing postgraduate level information on inverse and ill-posed problems for an international readership of professional scientists and researchers. The series aims to publish works which involve both theory and applications in, e.g., physics, medicine, geophysics, acoustics, electrodynamics, tomography, and ecology.
Thismonograph is a valuable contribution to thehighly topical and extremly productive field ofregularisationmethods for inverse and ill-posed problems. The author is an internationally outstanding and acceptedmathematicianin this field. In his book he offers a well-balanced mixtureof basic and innovative aspects.He demonstrates new,differentiatedviewpoints, and important examples for applications. The bookdemontrates thecurrent developments inthe field of regularization theory,such as multiparameter regularization and regularization in learning theory. The book is written for graduate and PhDstudents and researchersin mathematics, natural sciences, engeneering, and medicine.

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Shuai Lu

Themen in »Regularization Theory for Ill-posed Problems«

Balancing Principle Blood Glucose Prediction Convergence Rate Discrepancy Principle Error Bound Estimation Ill-posed Problem Learning Theory, Meta-learning Multi-parameter Regularization Regularization Method

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Details

ISBN: 9783110286502
Verlag: De Gruyter
Erscheinung: 31.07.2013

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