Optimal Selection of the Regularization Parameter for pyGIMLi: Geophysical Inversion and Modeling Library-Reference-Cited by-同舟云学术

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Optimal Selection of the Regularization Parameter for pyGIMLi: Geophysical Inversion and Modeling Library

Published:2022-11-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE ANDESCON
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Author:

Quiceno Brayan A.¹,Munoz Andres M.²,Paniagua Juan G.²,Bustamante Moises O.³

Affiliation:

1. Instituto Tecnológico Metropolitano,Automation and Industrial Control Master’s Degree Program,Medellín,Colombia

2. Instituto Tecnológico Metropolitano,Geophysics and Computer Science Group,Medellín,Colombia

3. Universidad Nacional de Colombia,Institute of Minerals CIMEX,Medellín,Colombia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989530/9989521/09989631.pdf?arnumber=9989631

Reference30 articles.

1. The Use of L-Curve and U-Curve in Inverse Electromagnetic Modelling

2. An extended L-curve method for choosing a regularization parameter in electrical resistance tomography

3. Numerical estimation of choice of the regularization parameter for NMR T2 inversion

4. A Robust Regularized Hybrid State Estimator for Power Systems

5. The L-Curve and Its Use in the Numerical Treatment of Inverse Problems;hansen;Computational Inverse Problems in Electrocardiology,2000

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