Efficient Methods for Large-Scale Unconstrained Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F06%3A00341250" target="_blank" >RIV/67985807:_____/06:00341250 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Efficient Methods for Large-Scale Unconstrained Optimization
Original language description
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 bundlemethods for partially separable nonsmooth optimization, hybrid methods for sparse least squares and methods for solving large-scale trust-region subsproblem.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/IAA1030405" target="_blank" >IAA1030405: Development of software system for solving large-scale problems of nonlinear and nonsmooth optimization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Large-Scale Nonlinear Optimization
ISBN
978-0-387-30063-4
ISSN
—
e-ISSN
—
Number of pages
26
Pages from-to
—
Publisher name
Springer
Place of publication
New York
Event location
Erice
Event date
Jun 22, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000235840800012