Majorization-minimization-based Levenberg–Marquardt method for constrained nonlinear least squares
Majorization-minimization-based Levenberg–Marquardt method for constrained nonlinear least squares
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Publisher
New York: Springer US
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English
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New York: Springer US
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Contents
A new Levenberg–Marquardt (LM) method for solving nonlinear least squares problems with convex constraints is described. Various versions of the LM method have been proposed, their main differences being in the choice of a damping parameter. In this paper, we propose a new rule for updating the parameter so as to achieve both global and local conve...
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Full title
Majorization-minimization-based Levenberg–Marquardt method for constrained nonlinear least squares
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TN_cdi_proquest_journals_2789558075
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2789558075
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ISSN
0926-6003
E-ISSN
1573-2894
DOI
10.1007/s10589-022-00447-y
