On characterizing linear complementarity problems as linear programs
Faiz Al‐Khayyal
Abstract
Faiz Al‐Khayyal
Abstract
Using a new bilinear programming formulation of the linear complementarity problem, we simplify Mangasabian's necessary and sufficient conditions under which these problems can be solved as linear programs. Our conditions are used to derive new special cases of linear complementarity problems that are solvable as linear programs. Finally, we indicate how they can be used to characterize matrix classes in complementarity theory.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Using a new bilinear programming formulation of the linear complementarity problem, we simplify Mangasabian's necessary and sufficient conditions under which these problems can be solved as linear programs. Our conditions are used to derive new special cases of linear complementarity problems that are solvable as linear programs. Finally, we indicate how they can be used to characterize matrix classes in complementarity theory.
Key concepts: Mixed complementarity problem, Linear complementarity problem, Complementarity theory, Complementarity (molecular biology), Mathematics, Bilinear interpolation, Linear programming, Mathematical optimization