http://www.cnr.it/ontology/cnr/individuo/prodotto/ID7069
Use of the (Articolo in rivista)
- Type
- Label
- Use of the (Articolo in rivista) (literal)
- Anno
- 2003-01-01T00:00:00+01:00 (literal)
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- Lampariello, F.; Sciandrone, M. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
- A new algorithm for nonlinear least-squares problems is defined, its convergence properties are proved, and computational experiments are performed (literal)
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto di Analisi dei Sistemi ed Informatica - CNR (literal)
- Titolo
- Abstract
- In this work a new stabilization scheme for the Gauss-Newton method is defined,
where the minimum norm solution of the linear least-squares problem is normally
taken as search direction, and the standard Gauss-Newton equation is suitably
modified only at a subsequence of iterates. Moreover, the stepsize is computed
by means of a nonmonotone line search technique. The global convergence of the
proposed algorithm model is proved under standard assumptions, and the
superlinear rate of convergence is ensured for the zero-residual case. A
specific implementation algorithm is described, where the use of the pure
Gauss-Newton iteration is conditioned to the progress made in the minimization
process by controlling the stepsize. The results of a computational
experimentation performed on a set of standard test problems are reported. (literal)
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