-ksp_richardson_scale -damping factor on the correction (defaults to 1.0)
Notes
x^{n+1} = x^{n} + scale*B(b - A x^{n})
Here B is the application of the preconditioner
This method often (usually) will not converge unless scale is very small.
Notes
For some preconditioners, currently SOR, the convergence test is skipped to improve speed,
thus it always iterates the maximum number of iterations you've selected. When -ksp_monitor
(or any other monitor) is turned on, the norm is computed at each iteration and so the convergence test is run unless
you specifically call KSPSetNormType(ksp,KSP_NORM_NONE);
For some preconditioners, currently PCMG and PCHYPRE with BoomerAMG if -ksp_monitor (and also
any other monitor) is not turned on then the convergence test is done by the preconditioner itself and
so the solver may run more or fewer iterations then if -ksp_monitor is selected.
Supports only left preconditioning
References
1. -L. F. Richardson, "The Approximate Arithmetical Solution by Finite Differences of Physical Problems Involving
Differential Equations, with an Application to the Stresses in a Masonry Dam",
Philosophical Transactions of the Royal Society of London. Series A,
Containing Papers of a Mathematical or Physical Character, Vol. 210, 1911 (1911).
See Also
KSPCreate(), KSPSetType(), KSPType (for list of available types), KSP,
KSPRichardsonSetScale()
Level
beginner
Location
src/ksp/ksp/impls/rich/rich.c
Index of all KSP routines
Table of Contents for all manual pages
Index of all manual pages