Convergence Analysis of Levenberg-Marquardt Method for Inverse Problem with Hölder Stability Estimate

Fuente: arXiv
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Auteurs principaux: Ishida, Akari, Nagayasu, Sei, Nakamura, Gen
Format: Preprint
Publié: 2025
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_version_ 1866915104632602624
author Ishida, Akari
Nagayasu, Sei
Nakamura, Gen
author_facet Ishida, Akari
Nagayasu, Sei
Nakamura, Gen
contents We analyze convergence of the Levenberg-Marquardt method for solving nonlinear inverse problems in Hilbert spaces. Specifically, we establish local convergence and convergence rates for a class of inverse problems that satisfy Hölder stability estimate. Furthermore, based on what we found in the mentioned analysis, we develop global reconstruction algorithms for solving inverse problems with finite measurements for exact and noisy data, respectively.
format Preprint
id arxiv_https___arxiv_org_abs_2501_08932
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Convergence Analysis of Levenberg-Marquardt Method for Inverse Problem with Hölder Stability Estimate
Ishida, Akari
Nagayasu, Sei
Nakamura, Gen
Functional Analysis
47J25, 65J22, 35R30
We analyze convergence of the Levenberg-Marquardt method for solving nonlinear inverse problems in Hilbert spaces. Specifically, we establish local convergence and convergence rates for a class of inverse problems that satisfy Hölder stability estimate. Furthermore, based on what we found in the mentioned analysis, we develop global reconstruction algorithms for solving inverse problems with finite measurements for exact and noisy data, respectively.
title Convergence Analysis of Levenberg-Marquardt Method for Inverse Problem with Hölder Stability Estimate
topic Functional Analysis
47J25, 65J22, 35R30
url https://arxiv.org/abs/2501.08932