petsc-3.13.6 2020-09-29
Krylov Methods - KSP: : Examples
The
scalable linear equations solvers (KSP)
component provides an easy-to-use interface to the combination of
a Krylov subspace iterative method and a preconditioner (in the KSP and
PC
components, respectively) or a sequential direct solver. KSP users can set various Krylov
subspace options at runtime via the options database (e.g.,
-ksp_type cg
).
KSP users can also set KSP options directly in application
by directly calling the KSP routines listed below (e.g.,
KSPSetType()
).
KSP components can be used directly to create and
destroy solvers; this is not needed for users but
is intended for library developers.
ex1.c: Tests the creation of a PC context
ex2.c: Tests PC and KSP on a tridiagonal matrix
ex3.c: Demonstrates the use of fast Richardson for SOR
ex4.c: Demonstrates the use of fast Richardson for SOR
ex5.c: Tests the multigrid code
ex6.c: Creates a matrix using 9 pt stencil, and uses it to test MatIncreaseOverlap (needed for additive Schwarz preconditioner)
ex7.c: Tests MatILUFactorSymbolic() on matrix with missing diagonal
makefile