Variable Metric Methods for Unconstrained Optimization and Nonlinear least Squares.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F00%3A06000015" target="_blank" >RIV/67985807:_____/00:06000015 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Variable Metric Methods for Unconstrained Optimization and Nonlinear least Squares.

Original language description

Variable metric or quasi-Newton methods were originally developed for small- and moderate-size dense problems, their modifications based either on sparse, partitioned or limited-memory updates are very efficient on large-scale sparse problems. Very significant applications of these methods also appear in nonlinear least-squares approximation and nonsmooth optimization. An extensive review of variable metric methods and their use in various optimization fields.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BA - General mathematics

OECD FORD branch

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Project

<a href="/en/project/GA201%2F00%2F0080" target="_blank" >GA201/00/0080: Development of methods for solving problems of non-smooth and non-linear analysis</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2000

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Computational and Applied Mathematics

ISSN

0377-0427

e-ISSN

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Volume of the periodical

124

Issue of the periodical within the volume

N/A

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

35

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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