Inverse Problems, Regularization Methods and Related Topics, 9789819779888
Hardcover
Explore regularization, inverse problems, and learning’s cutting-edge advancements.

Inverse Problems, Regularization Methods and Related Topics

a volume in honour of thamban nair

$309.99

  • Hardcover

    327 pages

  • Release Date

    31 March 2025

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Summary

Unveiling the Unknown: Advances in Inverse Problems and Regularization

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 Ju…

Book Details

ISBN-13:9789819779888
ISBN-10:981977988X
Series:Industrial and Applied Mathematics
Author:Sergei V. Pereverzyev, R. Radha, S. Sivananthan
Publisher:Springer Verlag, Singapore
Imprint:Springer Nature
Format:Hardcover
Number of Pages:327
Edition:2024th
Release Date:31 March 2025
Weight:0g
Dimensions:235mm x 155mm
About The Author

Sergei V. Pereverzyev

Sergei V. Pereverzyev is a professor and senior fellow of the Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences, Wien, Austria. He is the second recipient of the International Prize for Achievement in Information-Based Complexity (2000) and the inventor of a patented innovation in diabetes technology (2019). He is an author of 3 books and more than 100 scholarly articles. He serves as a member of editorial boards of several international journals: Applied and Computational Harmonic Analysis, Journal of Complexity, Computational Methods in Applied Mathematics, Numerical Functional Analysis and Optimization, International Journal on Geomathematics, Frontiers in Applied Mathematics and Statistics, International Journal of Wavelets, Multiresolution and Information Processing and Ukrainian Mathematical Journal.

Radha Ramakrishnan is a senior professor in the Department of Mathematics, Indian Institute of Technology (IIT) Madras, Chennai, India. With more than 25 years of teaching and research experience, she has guided several Ph.D. students and postdoctoral researchers who at present are working at different IITs. She has published more than 60 research papers in international journals and edited 3 international conference proceedings. She is also serving as a member of editorial board for journals: Mathematics of Computation and Data Science, Frontiers in Applied Mathematics and Statistics and Sampling Theory, Signal Processing, and Data Analysis.

Sivananthan Sampath is a professor in the Department of Mathematics, Indian Institute of Technology (IIT) Delhi, New Delhi, India. Having obtained his Ph.D. from the IIT Madras in 2008, before joining the IIT Delhi in 2012, he pursued postdoctoral research at Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences, Austria. In recognition of his teaching abilities, he received a teaching excellence award from the IIT Delhi and is also one of the inventors of a patented innovation in diabetes technology (2019). He has co-authored more than 25 scholarly articles and serves as a member of the editorial board for the Sampling Theory, Signal Processing, and Data Analysis journal.

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