A Kernel Machine Learning for Inverse Source and Scattering Problems-Reference-Cited by-同舟云学术

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A Kernel Machine Learning for Inverse Source and Scattering Problems

Published:2024-06-19 Issue:3 Volume:62 Page:1443-1464
ISSN:0036-1429
Container-title:SIAM Journal on Numerical Analysis
language:en
Short-container-title:SIAM J. Numer. Anal.

Author:

Meng Shixu¹^ORCID,Zhang Bo²^ORCID

Affiliation:

1. Department of Mathematics, Virginia Tech, Blacksburg, VA 24060 USA. Part of this work was conducted while this author was affiliated with the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China.

2. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China, and School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.

Funder

National Key R&D Program of China

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference46 articles.

1. Theory of reproducing kernels

2. Algorithm 840: computation of grid points, quadrature weights and derivatives for spectral element methods using prolate spheroidal wave functions---prolate elements

3. A Qualitative Approach to Inverse Scattering Theory

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1. Shape and parameter identification by the linear sampling method for a restricted Fourier integral operator;Inverse Problems;2024-07-26

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