Levenberg--Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation
The Levenberg--Marquardt algorithm is one of the most popular algorithms for the solution of nonlinear least squares problems. Motivated by the problem structure in data assimilation, we consider in this paper the extension of the classical Levenberg-Marquardt algorithm to the scenarios where the li...
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| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/10316/45235 |
| Country: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/45235 |