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Journal of Electromagnetic Waves and Applications Volume 35, 2021 - Issue 17
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Research Article

On the computational complexity of the conjugate-gradient method for solving inverse scattering problems

Jose O. Vargasa Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, BrazilCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5431-6823View further author information
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André Costa Batistaa Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, BrazilORCID Iconhttps://orcid.org/0000-0001-5954-9880View further author information
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Lucas S. Batistab Department of Electrical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, BrazilORCID Iconhttps://orcid.org/0000-0002-7444-3440View further author information
ORCID Icon &
Ricardo Adrianob Department of Electrical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, BrazilORCID Iconhttps://orcid.org/0000-0003-4090-5771View further author information
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Pages 2323-2334 | Received 15 Feb 2021, Accepted 16 Jun 2021, Published online: 29 Jun 2021

Citations (3)

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Read on this site (1)

Guang-Dong Liu, Yan-Ling Hu & Jie Yin. (2022) An improved contrast source inversion approach for the reconstruction of single-pole Cole–Cole model parameters. Journal of Electromagnetic Waves and Applications 36:15, pages 2211-2226.
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Articles from other publishers (2)

Zulqurnain Sabir, Salem Ben Said & Juan L. G. Guirao. (2023) A Radial Basis Scale Conjugate Gradient Deep Neural Network for the Monkeypox Transmission System. Mathematics 11:4, pages 975.
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Jose O. Vargas & Ricardo Adriano. (2022) Subspace-Based Conjugate-Gradient Method for Solving Inverse Scattering Problems. IEEE Transactions on Antennas and Propagation 70:12, pages 12139-12146.
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