In this work we present the results of an extensive numerical experience obtained by different algorithms which belong to the preceding class. This numerical study, besides investigating which are the best algorithmic choices of the proposed approach, clarifies some significant points which underlies every truncated Newton based algorithm

Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization / Roma, Massimo; Lucidi, Stefano. - In: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. - ISSN 0926-6003. - STAMPA. - 7:(1997), pp. 71-87. [10.1023/A:1008619812615]

Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization

ROMA, Massimo;LUCIDI, Stefano
1997

Abstract

In this work we present the results of an extensive numerical experience obtained by different algorithms which belong to the preceding class. This numerical study, besides investigating which are the best algorithmic choices of the proposed approach, clarifies some significant points which underlies every truncated Newton based algorithm
1997
Large scale unconstrained optimization; Truncated Newton methods; negative curvature direction; curvilinear linesearch; Lanczos method
01 Pubblicazione su rivista::01a Articolo in rivista
Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization / Roma, Massimo; Lucidi, Stefano. - In: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. - ISSN 0926-6003. - STAMPA. - 7:(1997), pp. 71-87. [10.1023/A:1008619812615]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/16168
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