A primal-dual interior-point algorithm for nonlinear least squares constrained problems
This paper extends prior work by the authors on solving nonlinear least squares unconstrained problems using a factorized quasi-Newton technique. With this aim we use a primal-dual interior-point algorithm for nonconvex nonlinear program- ming. The factorized quasi-Newton technique is now applied to...
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Formato: | article |
Idioma: | eng |
Publicado em: |
2005
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Texto completo: | http://hdl.handle.net/1822/5415 |
País: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/5415 |