Treffer: Regularization techniques for equilibrium programming problems with inexactly specified input data based on an extension of the set

Title:
Regularization techniques for equilibrium programming problems with inexactly specified input data based on an extension of the set
Source:
Computational mathematics and mathematical physics. 42(8):1115-1122
Publisher Information:
Birmingham, AL; Moscow: Maik Nauka/Interperiodica, 2002.
Publication Year:
2002
Physical Description:
print, 18 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Computing Center, Russian Academy of Sciences, ul. Vavilova 40, Moscow, GSP-1, 119991, Russian Federation
Moscow State University, Vorob'evy gory, Moscow, 119899, Russian Federation
ISSN:
0965-5425
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:
Mathematics
Accession Number:
edscal.13900773
Database:
PASCAL Archive

Weitere Informationen

Modifications of the basic regularization techniques (stabilization, residual, and quasi-solution methods) are proposed for solving unstable equilibrium programming problems in which not only the objective function but also the set on which the equilibrium point is to be found are specified inexactly. The modifications are based on the idea of set extension. The convergence of the methods is analyzed, and a regularizing operator is constructed.