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Computational Optimization and Applications
Article . 2005 . Peer-reviewed
License: Springer TDM
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A Robust SQP Method for Mathematical Programs with Linear Complementarity Constraints

A robust SQP method for mathematical programs with linear complementarity constraints
descriptionPublicationkeyboard_double_arrow_right Article 18 Oct 2005 English Publisher:Springer Science and Business Media LLCJournal:Computational Optimization and Applications, volume 34, pages 5-33 (issn: 0926-6003, eissn: 1573-2894, Copyright policy )
Authors: Liu, X.; Perakis, G.; Sun, Jie;

doi: 10.1007/s10589-005-3075-y

handle: 20.500.11937/33024

A Robust SQP Method for Mathematical Programs with Linear Complementarity Constraints

Abstract

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Keywords

330, Constraint qualification, Sequential quadratic programming, Complementarity, Quadratic programming, mathematical programs with equilibrium constraints, 510, constraint qualification, Nondegeneracy, nondegeneracy, Mathematical programs with equilibrium constraints, Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming), sequential quadratic programming, complementarity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Average
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