We study the behavior of simple principal pivoting methods for the P-matrix linear complementarity problem (P-LCP). We solve an open problem of Morris by showing that Murty’s least-index pivot rule (under any fixed index order) leads to a quadratic number of iterations on Morris’s highly cyclic P-LCP examples. We then show that on K-matrix LCP instances, all pivot rules require only a linear number of iterations. As the main tool, we employ unique-sink orientations of cubes, a useful combinatorial abstraction of the P-LCP
In this paper, we present a theoretical and numerical study of linear complementary problems solvabl...
AbstractEarlier papers by Murty [16] and Fathi [7] have exhibited classes of linear complementarity ...
The plain Newton-min algorithm to solve the linear complementarity problem (LCP for short) 0 £ x^(Mx...
We study the behavior of simple principal pivoting methods for the P-matrix linear complementarity p...
AbstractWe describe a “condition” number for the linear complementarity problem (LCP), which charact...
Although LCP(q,M), where M is a general integer matrix, is NP-complete, LCPs corresponding to intege...
Linear programming is perhaps the most useful tool in optimization, much of it's success owed to the...
The goal of this thesis is to give a better understanding of the linear complementarity problem with...
In this work we rewrote the linear complementarity problem in a formulation based on unknown project...
We say an LP (linear programming) is fully nondegenerate if both the primal and the dual problems ar...
It is well known how to clarify whether there is a polynomial time simplex algorithm for linear prog...
Abstracte present a number of combinatorial characterizations of K-matrices. This extends a theorem ...
Linear Complementarity Problems (LCPs) belong to the class of NP-complete problems. Therefore we can...
This paper addresses a fundamental problem in linear programming, quadratic programming, and bimatri...
AbstractWe introduce a new matrix class Pc, which consists of those matrices M for which the solutio...
In this paper, we present a theoretical and numerical study of linear complementary problems solvabl...
AbstractEarlier papers by Murty [16] and Fathi [7] have exhibited classes of linear complementarity ...
The plain Newton-min algorithm to solve the linear complementarity problem (LCP for short) 0 £ x^(Mx...
We study the behavior of simple principal pivoting methods for the P-matrix linear complementarity p...
AbstractWe describe a “condition” number for the linear complementarity problem (LCP), which charact...
Although LCP(q,M), where M is a general integer matrix, is NP-complete, LCPs corresponding to intege...
Linear programming is perhaps the most useful tool in optimization, much of it's success owed to the...
The goal of this thesis is to give a better understanding of the linear complementarity problem with...
In this work we rewrote the linear complementarity problem in a formulation based on unknown project...
We say an LP (linear programming) is fully nondegenerate if both the primal and the dual problems ar...
It is well known how to clarify whether there is a polynomial time simplex algorithm for linear prog...
Abstracte present a number of combinatorial characterizations of K-matrices. This extends a theorem ...
Linear Complementarity Problems (LCPs) belong to the class of NP-complete problems. Therefore we can...
This paper addresses a fundamental problem in linear programming, quadratic programming, and bimatri...
AbstractWe introduce a new matrix class Pc, which consists of those matrices M for which the solutio...
In this paper, we present a theoretical and numerical study of linear complementary problems solvabl...
AbstractEarlier papers by Murty [16] and Fathi [7] have exhibited classes of linear complementarity ...
The plain Newton-min algorithm to solve the linear complementarity problem (LCP for short) 0 £ x^(Mx...