Although LCP(q,M), where M is a general integer matrix, is NP-complete, LCPs corresponding to integer Z-matrices, positive definite and semi definite matrices are solvable in polynomial time. For problems of order n Lemke's algorithm and Murty's Bard type algorithm were shown to require 2('n) pivot steps to solve the very nicest class of LCPs in the worst case. In the same way, we construct a class of LCP(q,M), with M being a P-matrix and positive semi definite, and show that Van der Heyden's variable dimension algorithm and Cottle and Dantzig's principal pivot method both require 2('n)-1 pivot steps to solve these nice LCPs of order n in the worst case. By giving a geometric interpretation to Van der Heyden's method, it is shown that it is...
In this paper the linear complementarity problem (LCP) is discussed. The focus\ud is on the types of...
Abstract — The linear complementarity problem (LCP) is a general problem that unifies linear and qua...
The goal of this thesis is to give a better understanding of the linear complementarity problem with...
We study the behavior of simple principal pivoting methods for the P-matrix linear complementarity p...
In an earlier paper we presented a variable dimension algorithm for solving the linear complementari...
AbstractWe describe a “condition” number for the linear complementarity problem (LCP), which charact...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We study the behavior of simple principal pivoting methods for the P-matrix linear complementarity p...
This study centers on the task of efficiently finding a solution of the linear complementarity probl...
We introduce a new matrix class Pc , which consists of those matrices M for which the solution set o...
An iterative scheme is given for solving the linear complementarity problem x> 0, Mx + q> 0, x...
Let A be a rational n × n square matrix and b be a rational n-vector for some positive integer n. Th...
A new predictor-corrector algorithm is proposed for solving P_*(k)-matrix linear complementarity pro...
AbstractThe linear complementarity problem LCP(M,q) is to find a vector z in IRn satisfying zT(Mz+q)...
AbstractLet A be a rational n × n square matrix and b be a rational n-vector for some positive integ...
In this paper the linear complementarity problem (LCP) is discussed. The focus\ud is on the types of...
Abstract — The linear complementarity problem (LCP) is a general problem that unifies linear and qua...
The goal of this thesis is to give a better understanding of the linear complementarity problem with...
We study the behavior of simple principal pivoting methods for the P-matrix linear complementarity p...
In an earlier paper we presented a variable dimension algorithm for solving the linear complementari...
AbstractWe describe a “condition” number for the linear complementarity problem (LCP), which charact...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We study the behavior of simple principal pivoting methods for the P-matrix linear complementarity p...
This study centers on the task of efficiently finding a solution of the linear complementarity probl...
We introduce a new matrix class Pc , which consists of those matrices M for which the solution set o...
An iterative scheme is given for solving the linear complementarity problem x> 0, Mx + q> 0, x...
Let A be a rational n × n square matrix and b be a rational n-vector for some positive integer n. Th...
A new predictor-corrector algorithm is proposed for solving P_*(k)-matrix linear complementarity pro...
AbstractThe linear complementarity problem LCP(M,q) is to find a vector z in IRn satisfying zT(Mz+q)...
AbstractLet A be a rational n × n square matrix and b be a rational n-vector for some positive integ...
In this paper the linear complementarity problem (LCP) is discussed. The focus\ud is on the types of...
Abstract — The linear complementarity problem (LCP) is a general problem that unifies linear and qua...
The goal of this thesis is to give a better understanding of the linear complementarity problem with...