“…The iterative scheme (1.7) is known as the Preconditioned Simultaneous Displacement (PSD) method (see [2,4,5]) which for r = w(2 -o) reduces to the SSOR method (see [I, 3,6-9]), which has the following scheme:…”
The purpose of this paper is to contribute to the development of the convergence theory of the Symmetric Successive Overrelaxation (SSOR) method, in order to iteratively solve the matrix problem Ax = b, where A is symmetric.
“…The iterative scheme (1.7) is known as the Preconditioned Simultaneous Displacement (PSD) method (see [2,4,5]) which for r = w(2 -o) reduces to the SSOR method (see [I, 3,6-9]), which has the following scheme:…”
The purpose of this paper is to contribute to the development of the convergence theory of the Symmetric Successive Overrelaxation (SSOR) method, in order to iteratively solve the matrix problem Ax = b, where A is symmetric.
“…In this paper we presented the theoretical analysis of the rate of convergence of the first order iterative methods defined in [3] under the assumptions that the coefficient matrix A is consistently ordered, and the Jacobi iteration matrix B possesses purely imaginary eigenvalues. By extending the SOR theory [11] we were able to find sufficient and necessary conditions for the iterative schemes being considered to converge.…”
Section: Final Remarks and Conclusionmentioning
confidence: 99%
“…Finally, we consider the Extrapolated Successive Overrelaxation (ESOR) method defined by [3] (see also [2, 6-9])…”
Section: U(+ 1) = Colu(+ 1) + (1 -Co)lu (") + Uu C") + C or U("+ L)mentioning
confidence: 99%
“…Such algebraic systems frequently arise in much the same contexts as in the symmetric case, e.g., the numerical solution of the biharmonic equation [1], the computation of cubic splines [10] and the solution of some integral equations of conformal mapping [43. where D=diag(A), -C L, -C v are the strictly lower and upper triangular parts of A, respectively. For the numerical solution of (1.1) we consider the following first order stationary iterative methods [3]. The Extrapolated GaussSeidel (EGS) method defined by …”
Section: Introductionmentioning
confidence: 99%
“…
Summary.A variety of iterative methods considered in [3] are applied to linear algebraic systems of the form A u=b, where the matrix A is consistently ordered [12] and the iteration matrix of the Jacobi method is skew-symmetric. The related theory of convergence is developed and the optimum values of the involved parameters for each considered scheme are determined.
Summary.A variety of iterative methods considered in [3] are applied to linear algebraic systems of the form A u=b, where the matrix A is consistently ordered [12] and the iteration matrix of the Jacobi method is skew-symmetric. The related theory of convergence is developed and the optimum values of the involved parameters for each considered scheme are determined. It reveals that under the aforementioned assumptions the Extrapolated Successive Underrelaxation method attains a rate of convergence which is clearly superior over the Successive Underrelaxation method [5-] when the Jacobi iteration matrix is non-singular.
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