Global convergence of multidirectional algorithms for unconstrained optimization in normed spaces
dc.contributor.author | Gómez, J. A. | |
dc.contributor.author | Romero, M. | |
dc.date.accessioned | 2017-06-15T17:56:07Z | |
dc.date.available | 2017-06-15T17:56:07Z | |
dc.date.created | 2005-11-11 | |
dc.date.issued | 2005-11-11 | |
dc.identifier.issn | 0863-0976 | |
dc.identifier.uri | http://edoc.hu-berlin.de/18452/3325 | |
dc.description.abstract | Global convergence theorems for a class of descent methods for unconstrained optimization problems in normed spaces, using multidirectional search, are proved. Exact and inexact search are considered and the results allow to define a globally convergent algoritm for an unconstrained optimal control problem which operates, at each step, on discrete approximations of the original continuous problem. | eng |
dc.language.iso | eng | |
dc.publisher | Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Methods of steepest descent type | eng |
dc.subject | Nonlinear programming | eng |
dc.subject | Optimization and variational techniques | eng |
dc.subject.ddc | 510 Mathematik | |
dc.title | Global convergence of multidirectional algorithms for unconstrained optimization in normed spaces | |
dc.type | book | |
dc.identifier.urn | urn:nbn:de:kobv:11-10053454 | |
dc.identifier.doi | http://dx.doi.org/10.18452/2673 | |
local.edoc.pages | 32 | |
local.edoc.type-name | Buch | |
local.edoc.container-type | series | |
local.edoc.container-type-name | Schriftenreihe | |
local.edoc.container-year | 1998 | |
dc.identifier.zdb | 2075199-0 | |
bua.series.name | Preprints aus dem Institut für Mathematik | |
bua.series.issuenumber | 1998,5 |