A level-set algorithm for the inverse problem of full magnetic gradient tensor data

DOI10.1016/j.aml.2020.106416zbMath1444.78006OpenAlexW3020186145MaRDI QIDQ2186735

Wenbin Li, Jianliang Qian

Publication date: 9 June 2020

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.aml.2020.106416

zbMATH Keywords

inverse problemlevel set methodmagnetic gradient tensor

Mathematics Subject Classification ID

PDEs in connection with optics and electromagnetic theory (35Q60) Inverse problems for PDEs (35R30) Finite difference methods applied to problems in optics and electromagnetic theory (78M20) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46) Inverse problems in optimal control (49N45)

Related Items (1)

A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data

Cites Work

• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• A level set approach for computing solutions to incompressible two-phase flow
• Imaging of location and geometry for extended targets using the response matrix
• A three-dimensional inverse gravimetry problem for ice with snow caps
• A level-set approach for inverse problems involving obstacles Fadil SANTOSA
• A Fast Local Level Set Method for Inverse Gravimetry
• Unnamed Item

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