Regularization theory for ill-posed problems : selected topics / by Shuai Lu, Sergei V. Pereverzev.

Format:

Book

Author/Creator:

Lu, Shuai, 1976-

Contributor:

Pereverzev, Sergei V.

Series:

Inverse and ill-posed problems series ; v. 58.

Inverse and ill-posed problems series ; 58

Language:

English

Subjects (All):

Numerical analysis--Improperly posed problems.

Numerical analysis.

Numerical differentiation.

Physical Description:

1 online resource (304 p.)

Edition:

1st ed.

Place of Publication:

Berlin ; Boston : Walter de Gruyter, [2013]

Language Note:

English

Summary:

This monograph is a valuable contribution to the highly topical and extremely productive field of regularization methods for inverse and ill-posed problems. The author is an internationally outstanding and accepted mathematician in this field. In his book he offers a well-balanced mixture of basic and innovative aspects. He demonstrates new, differentiated viewpoints, and important examples for applications. The book demonstrates the current developments in the field of regularization theory, such as multi parameter regularization and regularization in learning theory. The book is written for graduate and PhDs

Contents:

Front matter

Preface

Contents

Chapter 1. An introduction using classical examples

Chapter 2. Basics of single parameter regularization schemes

Chapter 3. Multiparameter regularization

Chapter 4. Regularization algorithms in learning theory

Chapter 5. Meta-learning approach to regularization - case study: blood glucose prediction

Bibliography

Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9783110286496

3110286491

OCLC:

858762149