Treffer: Parallelization in an algorithm of multi-dimensional nonconvex optimization: An application to insurance network design

Title:
Parallelization in an algorithm of multi-dimensional nonconvex optimization: An application to insurance network design
Source:
PPAM 2003 : parallel processing and applied mathematics (Czestochowa, 7-10 September 2003, revised papers)Lecture notes in computer science. :754-761
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 5 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
V.A. Steklov Institute of Mathematics, Russian Academy of Sciences, 8 Gubkin Str., 117966 Moscow, Russian Federation
Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, 16 S.Kovalevskaya Str., 620219 Ekaterinburg, Russian Federation
ISSN:
0302-9743
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.15811757
Database:
PASCAL Archive

Weitere Informationen

The paper deals with the area of management of large-scale economic and environmental systems. A nonconvex multi-dimensional optimization problem related to the issue of optimal design of a network of insurance companies is analyzed. In order to avoid dramatic increase in optimization time, a general optimization algorithm is specified and presented as a series of elementary parallel operations. The optimal number of parallel processors is estimated.