Regularization algorithms for ill-posed problems / Anatoly Bakushinsky, Mikhail Yu. Kokurin, Mikhail M. Kokurin.

By:

Bakushinskiĭ, A. B. (Anatoliĭ Borisovich) [author.]

Contributor(s):

Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783110557350
3110557355
9783110556308
3110556308
9783110557367
3110557363
9783110556384
3110556383

Subject(s):

Genre/Form:

Additional physical formats: Print version:: Regularization Algorithms for Ill-Posed Problems.DDC classification:

515/.353 23

LOC classification:

QA377 .B35 2018

Online resources:

Click here to access online

Contents:

Intro; Preface; Contents; 1 Introduction; 2 Regularization Methods For Linear Equations; 3 Regularization of Ill-Posed Cauchy Problems by Finite Difference Methods; 4 Iterative Regularization Methods For Nonlinear Equations; 5 Finite-Dimensional Iterative Processes for Irregular Nonlinear Equations; 6 Regularization of Nonlinear Variational Inequalities and Optimization Problems; Bibliography; Index.

Summary: 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.

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Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

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.