In this paper we give algorithms for solving linear complementarity problems for -matrices and symmetric positive semidefinite matrices. Our approach of the problem turns out to be an improvement and a more precise formulation of Baraff's method for problems arising from collision response. The theorems that prove the correctness of our algorithm can also be used to prove the correctness of Baraff's algorithm. An important feature of the method we present lies in its validity for arbitrary real closed fields, thus it is well suited to handle, at least locally, parametric linear complementarity problems. This article presents the theoretical principles of the algorithms and gives detailed pseudo-code descriptions of them
AbstractIn this note, we present an algorithm to reduce a horizontal linear complementarity problem ...
A unified treatment is given for iterative algorithms for the solution of the symmetric 1inear compl...
The class of positive definite and positive semidefinite matrices is one of the most frequently enco...
In this paper we give algorithms for solving linear complementarity problems for -matrices and symme...
In this paper we give algorithms for solving linear complementarity problems for -matrices and symme...
In this paper we give algorithms for solving linear complementarity problems for $\mathcal{P}$-matri...
Abstract — The linear complementarity problem (LCP) is a general problem that unifies linear and qua...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
The linear complementarity problem is that of finding an n x 1 vector z such that, Mz + q 2 0, z 2 0...
AbstractThe paper is a collection of results on the linear complementarity problem (q, M). The resul...
AbstractIn this note, we present an algorithm to reduce a horizontal linear complementarity problem ...
A unified treatment is given for iterative algorithms for the solution of the symmetric 1inear compl...
The class of positive definite and positive semidefinite matrices is one of the most frequently enco...
In this paper we give algorithms for solving linear complementarity problems for -matrices and symme...
In this paper we give algorithms for solving linear complementarity problems for -matrices and symme...
In this paper we give algorithms for solving linear complementarity problems for $\mathcal{P}$-matri...
Abstract — The linear complementarity problem (LCP) is a general problem that unifies linear and qua...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
We generalize new criss-cross type algorithms for linear complementarity problems (LCPs) given with ...
The linear complementarity problem is that of finding an n x 1 vector z such that, Mz + q 2 0, z 2 0...
AbstractThe paper is a collection of results on the linear complementarity problem (q, M). The resul...
AbstractIn this note, we present an algorithm to reduce a horizontal linear complementarity problem ...
A unified treatment is given for iterative algorithms for the solution of the symmetric 1inear compl...
The class of positive definite and positive semidefinite matrices is one of the most frequently enco...