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Improving the convergence of non-interior point algorithms for nonlinear complementarity problems

Author
LIQUN QI1 ; DEFENG SUN1
[1] School of Mathematics, The University of New South Wales, Sydney 2052, Australia
Source

Mathematics of computation. 2000, Vol 69, Num 229, pp 283-304 ; ref : 36 ref

CODEN
MCMPAF
ISSN
0025-5718
Scientific domain
Control theory, operational research; Computer science; Mathematics
Publisher
American Mathematical Society, Providence, RI
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Algorithme Convergence Equation non linéaire Lissage Problème complémentarité Algorithme Hotta Yoshise Convergence super linéaire Point non intérieur Technique lissage Chen Harker Kanzow Smale
Keyword (en)
Algorithm Convergence Non linear equation Smoothing Complementarity problem Hotta Hoshise algorithm Superlinear convergence Noninterior point Chen Harker Kanzow Smale smoothing technique
Keyword (es)
Algoritmo Convergencia Ecuación no lineal Alisamiento Problema complementariedad
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02I Numerical analysis. Scientific computation / 001A02I01 Numerical analysis / 001A02I01G Nonlinear algebraic and transcendental equations

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A03 Mathematical programming

Discipline
Mathematics Operational research. Management
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1270040

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

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