Levenberg--Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints

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Publication:704198

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DOI10.1016/j.cam.2004.02.013zbMath1064.65037OpenAlexW4205236922WikidataQ56443832 ScholiaQ56443832MaRDI QIDQ704198

Christian Kanzow, Nobuo Yamashita, Masao Fukushima

Publication date: 13 January 2005

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2004.02.013

zbMATH Keywords

algorithm numerical examples error bounds quadratic convergence convex minimization Levenberg-Marquardt method constraint equation projected gradient

Mathematics Subject Classification ID

Convex programming (90C25) Numerical computation of solutions to systems of equations (65H10)

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