High-Order Regularized Regression in Electrical Impedance Tomography

DOI10.1137/11084724XzbMath1264.78022DBLPjournals/siamis/PolydoridesAM12arXiv1109.2350OpenAlexW2963846367WikidataQ59393874 ScholiaQ59393874MaRDI QIDQ4902148

Eric L. Miller, Alireza Aghasi, Nick Polydorides

Publication date: 25 January 2013

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1109.2350

zbMATH Keywords

Newton's methodquadratic regressionimpedance tomography transform

Mathematics Subject Classification ID

General nonlinear regression (62J02) Numerical computation of solutions to systems of equations (65H10) PDEs in connection with optics and electromagnetic theory (35Q60) Inverse problems for PDEs (35R30) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46)

This page was built for publication: High-Order Regularized Regression in Electrical Impedance Tomography