0381640 - ÚI 2013 RIV NL eng J - Journal Article
Vlček, Jan - Lukšan, Ladislav
Generalizations of the limited-memory BFGS method based on the quasi-product form of update.
Journal of Computational and Applied Mathematics. Roč. 241, 15 March (2013), s. 116-129. ISSN 0377-0427. E-ISSN 1879-1778
R&D Projects: GA ČR GA201/09/1957
Institutional research plan: CEZ:AV0Z10300504
Keywords : unconstrained minimization * variable metric methods * limited-memory methods * Broyden class updates * global convergence * numerical results
Subject RIV: BA - General Mathematics
Impact factor: 1.077, year: 2013

Two families of limited-memory variable metric or quasi-Newton methods for unconstrained minimization based on quasi-product form of update are derived. As for the first family, four variants how to utilize the Strang recurrences for the Broyden class of variable metric updates are investigated; three of them use the same number of stored vectors as the limited- memory BFGS method. Moreover, one of the variants does not require any additional matrix by vector multiplication. The second family uses vectors from the preceding iteration to construct a new class of variable metric updates. Resulting methods again require neither any additional matrix by vector multiplication nor any additional stored vector. Global convergence of four of presented methods is established for convex sufficiently smooth functions. Numerical results indicate that two of the new methods can save computational time substantially for certain problems.
Permanent Link: http://hdl.handle.net/11104/0212062