Original title:
Variationally-Derived Limited-Memory Methods for Unconstrained Optimization
Translated title:
Variačně odvozené metody s omezenou pamětí pro nepodmíněnou minimalizaci.
Authors:
Vlček, Jan ; Lukšan, Ladislav Document type: Papers Conference/Event: Programy a algoritmy numerické matematiky /12./, Dolní Maxov (CZ), 2004-06-06 / 2004-06-11
Year:
2004
Language:
eng Abstract:
[eng][cze] The contribution contains a description of a limited memory variable metric method for large scale unconstrained minimization. The Hessian matrix is assumed to be general without any structure.V práci je popsána metoda s omezenou pamětí pro pro minimalizaci funkcí bez omezujících podmínek majících velké nestrukturované Hessovy matice.
Keywords:
limited memory methods; optimization Project no.: CEZ:MSM 242200002, IAA1030405 (CEP) Funding provider: GA AV ČR Host item entry: Programs and Algorithms of Numerical Mathematics, ISBN 80-85823-53-5
Institution: Institute of Computer Science AS ČR
(web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences. Original record: http://hdl.handle.net/11104/0125595