Regularization Theory for Ill-posed Problems
Selected Topics
Seiten
| Ausstattung: Hardcover & eBook
2013
De Gruyter
9783110286502 (ISBN)
De Gruyter
9783110286502 (ISBN)
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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.
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.
Shuai Lu, Fudan University, Shanghai, PR China; Sergei V. Pereverzev, Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences,Linz, Austria.
| Reihe/Serie | Inverse and Ill-Posed Problems Series ; 58 |
|---|---|
| Zusatzinfo | Includes a print version and an ebook |
| Verlagsort | Berlin/Boston |
| Sprache | englisch |
| Maße | 170 x 240 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| Schlagworte | Balancing Principle • Blood Glucose Prediction • Convergence Rate • Discrepancy Principle • Error Bound Estimation • ill-posed problem • Ill-posed Problem; Regularization Method; Multi-parameter Regularization; Discrepancy Principle; Balancing Principle; Error Bound Estimation; Convergence Rate; Learning Theory, Meta-learning; Blood Glucose Prediction • Learning Theory, Meta-learning • Multi-parameter Regularization • regularization method |
| ISBN-13 | 9783110286502 / 9783110286502 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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