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Journal ArticleDOI

On generalizations of positive subdefinite matrices and the linear complementarity problem

Dipti Dubey, +1 more
- 03 Oct 2018 - 
- Vol. 66, Iss: 10, pp 2024-2035
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TLDR
The notion of generalized positive subdefinite matrices of level k is introduced by generalizing the definition of generalized Positive Subdefinite Matrices introduced by Crouzeix and Komlósi in [Applied optimization].
Abstract
In this paper, we introduce the notion of generalized positive subdefinite matrices of level k by generalizing the definition of generalized positive subdefinite matrices introduced by Crouzeix and Komlosi in [Applied optimization. Vol. 59, Dordrecht: Kluwer Academic Publications; 2001. p. 45–63]. The main motivation behind this generalization is to identify new subclasses of row sufficient matrices [Cottle, Pang and Venkateswaran, Linear Algebra Appl. 1989;114/115:231–249] which are not a subclass of copositive matrices. We establish new sufficient conditions for a matrix to be a non-copositive matrix and a non-copositive row sufficient matrix using the notion of generalized positive subdefinite matrices of level k. We present a new termination result for Lemke’s algorithm which supplements Jones’ result [Math Program. 1986;35:239–242].

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References
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Journal ArticleDOI

Matrix-theoretic criteria for the quasi-convexity and pseudo-convexity of quadratic functions.

TL;DR: In this paper, it is shown that testing the quasi-convexity of a quadratic function on the nonnegative (semipositive) orthant can be reduced to an examination of finitely many conditions.
Journal ArticleDOI

More on positive subdefinite matrices and the linear complementarity problem

TL;DR: In this article, the authors considered positive subdefinite matrices (PSBD) and showed that linear complementarity problems with PSBD matrices of rank ⩾ 2 are processable by Lemke's algorithm and that a PSBD matrix of rank 2 belongs to the class of sufficient matrices introduced by R.W. Cottle et al.
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Positive Subdefinite Matrices, Generalized Monotonicity, and Linear Complementarity Problems

TL;DR: Positive subdefinite matrices were introduced by Martos to characterize generalized convex quadratic functions and are extended to nonsymmetric matrices, leading to a study of pseudomonotone matrices and to new characterizations of generalized monotone affine maps.
Journal ArticleDOI

Some Properties of Generalized Positive Subdefinite Matrices

TL;DR: It is shown that for a subclass of GPSBD matrices, the solution set of a linear complementarity problem is same as the set of Karush--Kuhn--Tucker-stationary points of the corresponding quadratic programming problem.
Journal ArticleDOI

Convergence of SSOR methods for linear complementarity problems

TL;DR: By applying the SSOR splitting, two new iterative methods for solving the linear complementarity problem LCP (M,q) are proposed and convergence results for these two methods are presented when M is an H-matrix (and also an M-Matrix).
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