![]() Routines that KSP uses to set up the transformed linear system. Since this algorithm runs the Krylov method on a transformed linear system the implementation provides PCPreSolve() and PCPostSolve() GUI for P圜SP, which is a Python implementation of CSP BVA07, P圜. ![]() Not a true parallel SOR, in parallel this implementation corresponds to block Jacobi with SOR on each block. lem, such as the projected GaussSeidel method, are inherently sequential. Only implemented for the MATAIJ matrix format. Jacobi (our first implementation), but probably slower than the fast Jacobi. pc_eisenstat_no_diagonal_scaling - Activates PCEisenstatSetNoDiagonalScaling() This solver can be a Jacobi, Gauss-Seidel, or conjugate gradient implementation, or any other solver that can use a number-of-iterations parameter to make a tradeoff between overall accuracy and speed. When we observe the convergence of Gauss-Seidel, we see that unlike Jacobi. ![]() The Python script that implements the GaussSeidel iteration for the. An implementation of SSOR (symmetric successive over relaxation, symmetric Gauss-Seidel) preconditioning that incorporates Eisenstat’s trick to reduce the amount of computation needed. The implementation of the GaussSeidel iteration is nearly identical to the.
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