Analysis of Methods for Solving Large-Scale Non-Symmetric Linear Systems with Sparsed Matrices
by M.Balandin, O.Chernyshev, E.Shurina
Abstract:
Two methods which allow to solve non-symmetric sparsed systems of linear equations (SLEs) Biconjugative Gradients (BiCG) and General Minimal Residuals (GMRES) methods are described in this paper. Analysis of requirements to memory and computational speed is given; some results of application to finite- differences and finiteelements SLEs are shown. Some features of these methods connected with ABS-class presented by Abaffi and Spedicato are also discussed.
Keywords: applications
Source:
M. Balandin, O. Chernyshev, E. Shurina, Analysis of Methods for Solving Large-Scale Non-Symmetric Linear Systems with Sparsed Matrices. In V. Malyshkin (ed.),
Parallel Computing Technologies: Proceedings of the 4th International Conference,
Lect. Notes in Comp. Sci., Vol. 1277, Springer, 1997, pp. 336-343
