A nonmonotone truncated Newton–Krylov method exploiting negative curvature directions, for large scale unconstrained optimization-Reference-Cited by-同舟云学术

A nonmonotone truncated Newton–Krylov method exploiting negative curvature directions, for large scale unconstrained optimization

Published:2009-06-26 Issue:4 Volume:3 Page:521-535
ISSN:1862-4472
Container-title:Optimization Letters
language:en
Short-container-title:Optim Lett

Author:

Fasano Giovanni,Lucidi Stefano

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization

Link

http://link.springer.com/content/pdf/10.1007/s11590-009-0132-y.pdf

Reference21 articles.

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3. Fasano, G., Lucidi, S.: A nonmonotone truncated Newton–Krylov method exploiting negative curvature directions, for large scale unconstrained optimization: complete results. Technical Report INSEAN 2008-035/rt, 2008

4. Fasano G., Roma M.: Iterative computation of negative curvature directions in large scale optimization. Comput. Optim. Appl. 38(1), 81–104 (2007)

5. Ferris M.C., Lucidi S., Roma M.: Nonmonotone curvilinear linesearch methods for unconstrained optimization. Comput. Optim. Appl. 6, 117–136 (1996)

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