An efficient and accurate parameter identification scheme for inverse Helmholtz problems using SLICM-Reference-Cited by-同舟云学术

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An efficient and accurate parameter identification scheme for inverse Helmholtz problems using SLICM

Published:2024-08-20 Issue: Volume: Page:
ISSN:0178-7675
Container-title:Computational Mechanics
language:en
Short-container-title:Comput Mech

Author:

Qian Zhihao,Hu Minghao,Wang Lihua,Wahab Magd Abdel

Funder

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Shanghai Pilot Program for Basic Research

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00466-024-02530-z.pdf

Reference72 articles.

1. Song Y, Shen L, Xing L, Ermon S (2021) Solving inverse problems in medical imaging with score-based generative models. Prepr ArXiv 2111:08005

2. Bilicz S (2020) Sensitivity analysis of inverse problems in EM non-destructive testing. IET Sci Meas Technol 14:543–551

3. Meju MA (1994) Geophysical data analysis: understanding inverse problem theory and practice. Soc Explor Geophys

4. Mueller JL, Siltanen S (2012) Linear and nonlinear inverse problems with practical applications. SIAM, Philadelphia

5. Tarantola A, Valette B (1982) Generalized nonlinear inverse problems solved using the least squares criterion. Rev Geophys 20:219–232

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