For the large sparse linear complementarity problems, by reformulating them as implicit fixed-point equations based on splittings of the system matrices, we establish a class of modulus-based matrix splitting iteration methods and prove their convergence when the system matrices are positive-definit
Conjugate gradient method for the linear complementarity problem with -matrix
β Scribed by Dong-Hui Li; Yi-Yong Nie; Jin-Ping Zeng; Qing-Na Li
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 267 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0895-7177
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β¦ Synopsis
In this paper, we present a conjugate gradient method for solving the linear complementarity problem that involves an S-matrix. At each step, we solve a lower-dimensional system of linear equations by conjugate gradient method. The method terminates at the exact solution of the problem after a finite number of iterations. Moreover, the computational complexity of the proposed method is no more than the computational complexity of a conjugate gradient method for solving a system of linear equations. Preliminary numerical experiments show that the method is efficient.
π SIMILAR VOLUMES
In this article we develop an extension of Murty's Bard-type method for the solution of a generalized linear complementarity problem with upper bounds (BLCP) when its matrix M has positive principal minors ( M E P). We prove that the Bard-type algorithm converges to the unique solution of the BLCP w
The convergence of the multiplicative multisplitting-type method for solving the linear complementarity problem with an H-matrix is discussed using classical and new results from the theory of splitting. This directly results in a sufficient condition for guaranteeing the convergence of the multipli