vix.ing · top · new · best · stats · spec

The Levenberg-Marquardt Iteration for Numerical Inversion of the Power Density Operator

2012/11/26 by Guillaume Bal, Wolf Naetar, Bal, Guillaume +5 · 1 citation
Mathematics · #35J47 #35R30 #47J06 #Analysis of PDEs (math.AP) #FOS: Mathematics #math.AP #msc:35J47 #msc:35R30 #msc:47J06

paper · pdf · doi:10.48550/arxiv.1211.6034

arxiv created 2012/11/26 · arxiv updated 2012/11/27

Abstract

In this paper we develop a convergence analysis in an infinite dimensional setting of the Levenberg-Marquardt iteration for the solution of a hybrid conductivity imaging problem. The problem consists in determining the spatially varying conductivity σ from a series of measurements of power densities for various voltage inductions. Although this problem has been very well studied in the literature, convergence and regularizing properties of iterative algorithms in an infinite dimensional setting are still rudimentary. We provide a partial result under the assumptions that the derivative of the operator, mapping conductivities to power densities, is injective and the data is noise-free. Moreover, we implemented the Levenberg-Marquardt algorithm and tested it on simulated data.

Cited by

Related