Inverse Problems, Regularization Methods and Related Topics : A Volume in Honour of Thamban Nair / edited by Sergei V. Pereverzyev, R. Radha, S. Sivananthan.

Format:

Book

Contributor:

Pereverzyev, Sergei V., Editor.

Radha, R., Editor.

Sivananthan, S., Editor.

Series:

Industrial and Applied Mathematics, 2364-6845

Language:

English

Subjects (All):

Mathematical analysis.

Algebra.

Operator theory.

Integral equations.

Learning, Psychology of.

Analysis.

Operator Theory.

Integral Equations.

Learning Theory.

Local Subjects:

Analysis.

Algebra.

Operator Theory.

Integral Equations.

Learning Theory.

Physical Description:

1 online resource (IX, 327 p. 12 illus., 8 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

This book features a thoughtfully curated collection of research contributions spanning regularization theory, integral equations, learning theory, and matrix and operator theory. These contributions were presented in honor of Prof. M. Thamban Nair on his 65th birthday during the International Conference on Analysis, Inverse Problems, and Applications, which took place at the IIT Madras in Chennai, India, from July 18–21, 2022. The book is a valuable resource for graduate students, engineers, scientists, and researchers looking to advance their work in the development of innovative regularization algorithms. It comprises 14 chapters contributed by esteemed experts and emerging researchers.

Contents:

Chapter 1 A Class of Frozen Regularized Gauss–Newton Methods under Weak Conditions

Chapter 2 Projection-based Approximations of Integral Equation of the First Kind

Chapter 3 Approximate Solution of Fredholm Integral Equations of the Second Kind.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9779-89-8

OCLC:

1524422999