The Gauss-Seidel method is an iterative technique for solving a system of linear equations. This particular implementation leverages the concept of sparse matrices to efficiently manage large datasets ...

In recent years, a number of preconditioners have been applied to solve the linear systems with Gauss-Seidel method (see [1-7,10-12,14-16]). In this paper we use S l instead of (S + S m) and compare ...

There was an error while loading. Please reload this page. Gauss-Seidel Power Flow Calculation This project involves implementing the Gauss-Seidel iterative method ...

SIAM Journal on Numerical Analysis, Vol. 27, No. 3 (Jun., 1990), pp. 804-822 (19 pages) Interval Newton methods in conjunction with generalized bisection can form the basis of algorithms that find all ...

Abstract: In the field of operator equations, solving the inner inverses is essential. In this paper, based on the Lagrangian function a class of block Gauss-Seidel methods is proposed, which contains ...

For the linear least squares problem with coefficient matrix columns being highly correlated, we develop a greedy randomized Gauss-Seidel method with oblique direction. Then the corresponding ...

Abstract: The advent of autonomous microgrids with distributed generators has drawn a lot of interest to studies on microgrid power flow. Conventional power flow approaches cannot overcome several ...

We consider the nonlinear system of equations that results from the Van Leer flux vector-splitting discretization of the one dimensional Euler equations. This nonlinear system is linearized at the ...