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Inverse problems, regularization met...

Pereverzyev, Sergei V.

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Inverse problems, regularization methods and related topics = a volume in honour of Thamban Nair /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Inverse problems, regularization methods and related topics/ edited by Sergei V. Pereverzyev, R. Radha, S. Sivananthan.
其他題名:	a volume in honour of Thamban Nair /
其他作者:	Pereverzyev, Sergei V.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	ix, 327 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Inverse problems (Differential equations) -
電子資源:	https://doi.org/10.1007/978-981-97-7989-5
ISBN:	9789819779895

Inverse problems, regularization methods and related topics = a volume in honour of Thamban Nair /
Inverse problems, regularization methods and related topicsa volume in honour of Thamban Nair /[electronic resource] :edited by Sergei V. Pereverzyev, R. Radha, S. Sivananthan. - Singapore :Springer Nature Singapore :2025. - ix, 327 p. :ill. (some col.), digital ;24 cm. - Industrial and applied mathematics,2364-6845. - Industrial and applied mathematics..

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.

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.

ISBN: 9789819779895

Standard No.: 10.1007/978-981-97-7989-5doiSubjects--Topical Terms:

566558
Inverse problems (Differential equations)

LC Class. No.: QA371

Dewey Class. No.: 515.357

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