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B01=R. Radha
B01=Sergei V. Pereverzyev
B01=Sivananthan Sampath
Category1=Non-Fiction
Category=JNC
Category=PBF
Category=PBK
Category=PBKF
Category=PBKL
COP=Singapore
Delivery_Pre-order
Language_English
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Price_€100 and above
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Inverse Problems, Regularization Methods and Related Topics: A Volume in Honour of Thamban Nair

★★★★★
★★★★★

English

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 1821, 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.

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€131.55
€142.99
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Age Group_Uncategorizedautomatic-updateB01=R. RadhaB01=Sergei V. PereverzyevB01=Sivananthan SampathCategory1=Non-FictionCategory=JNCCategory=PBFCategory=PBKCategory=PBKFCategory=PBKLCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 03 Jan 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 03 Jan 2025
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819779888

About

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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