Regularization algorithms for ill-posed problems

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISBN: 9783110556308
3110556308

Dimensions: 24 cm

Extent: XVI, 323 Seiten

Language: Englisch

Notes: Illustrationen

Bibliographic citation: Inverse and ill-posed problems series ; Volume 61

Keyword: Operatorgleichung
Inkorrekt gestelltes Problem
Regularisierungsverfahren

Event: Veröffentlichung

(where): Berlin

(who): De Gruyter

(when): [2018]

Creator: Bakušinskij, Anatolij B.
Kokurin, Michail Ju.
Kokurin, Mikhail M.

Contributor: Walter de Gruyter GmbH & Co. KG

Table of contents: https://d-nb.info/1137845937/04

Rights: Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.

Last update: 11.03.2025, 12:03 PM CET

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Bakušinskij, Anatolij B.
Kokurin, Michail Ju.
Kokurin, Mikhail M.
Walter de Gruyter GmbH & Co. KG
De Gruyter

Time of origin

[2018]

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Regularization algorithms for ill-posed problems

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Other Objects (12)

Regularization theory for Ill-posed problems : selected topics

Iterated Tikhonov regularization for linear ill-posed problem

Ill-posed inverse problems and their optimal regularization

Regularization Methods for Ill-Posed Optimal Control Problems

Iterative regularization methods for nonlinear ill posed problems

Regularization Methods for Ill-Posed Optimal Control Problems

Ill-posed inverse problems and their optimal regularization

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Iterative methods for ill-posed problems : an introduction

Regularization of ill-posed problems by conjugate gradient type methods

Adaptive frame based regularization methods for linear ill-posed inverse problems

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Ill-posed inverse problems and their optimal regularization

Regularization Methods for Ill-Posed Optimal Control Problems

Iterative regularization methods for nonlinear ill posed problems

Regularization Methods for Ill-Posed Optimal Control Problems

Ill-posed inverse problems and their optimal regularization

Tikhonov regularization and approximation for ill-posed operator equations

Iterative methods for ill-posed problems : an introduction

Regularization of ill-posed problems by conjugate gradient type methods

Adaptive frame based regularization methods for linear ill-posed inverse problems

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Regularization for applied inverse and ill-posed problems : a numerical approach

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