Efficient Methods for Large-Scale Unconstrained Optimization

0341250 - ÚI 2010 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Lukšan, Ladislav - Vlček, Jan
Efficient Methods for Large-Scale Unconstrained Optimization.
Large-Scale Nonlinear Optimization. New York: Springer, 2006 - (Di Pillo, G.; Roma, M.), s. 185-210. Nonconvex Optimization and Its Applications, 83. ISBN 978-0-387-30063-4.
[Workshop on Large Scale Nonlinear Optimization. Erice (IT), 22.06.2004-01.07.2004]
Grant CEP: GA AV ČR IAA1030405
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: nonlinear optimization * nonsmooth optimization * large-scale problems * variable metric methods * trust-region methods
Kód oboru RIV: BA - Obecná matematika

This contribution contains a description of efficient methods for large scale unconstrained optimization. Many of them have been developed recently by the authors. It concerns limited memory methods for general smooth optimization, variable-metric bundle methods for partially separable nonsmooth optimization, hybrid methods for sparse least squares and methods for solving large-scale trust-region subsproblem.
Trvalý link: http://hdl.handle.net/11104/0184291