[petsc-dev] KSP rtol
Barry Smith
bsmith at mcs.anl.gov
Wed Dec 14 15:50:47 CST 2011
On Dec 14, 2011, at 3:13 PM, Mark F. Adams wrote:
>
> On Dec 14, 2011, at 3:44 PM, Barry Smith wrote:
>
>>
>> On Dec 14, 2011, at 12:45 PM, Mark F. Adams wrote:
>>
>>> I have a nonlinear problem and am finding the the convergence test for the interior PETSc linear solver is apparently testing against the norm of the first linear solve (see appended).
>>
>> No it is || r = b - Ax ||/|| b|| with a B in there if left preconditioned
>>
>> It has nothing to do with the "first linear solve". Each linear solve is self contained and it does not use anything from a previous linear solve to determine convergence of a later linear solve.
>>
>
> Matts suggestion -ksp_converged_use_initial_residual_norm did the trick.
>
>>> This is clearly not what anyone would want,
>>
>> Why not?
>>
>
> OK, I should say I don't know why anyone would want this and if you pop a KSP into a nonlinear loop, which is a very common thing to do obviously, then you get behavior that is probably not what you want. Namely, an approximate Newton where the outer nonlinear tolerance is much smaller than the inner linear tolerance.
I would think you would want exactly that. Why oversolve the linear system since it is "wrong" anyways"?
Actually with Newton it should really be setting the linear tolerances based on the progress of the Newton method, this is done via -snes_ksp_ew I would like to make that the default but this scheme is not robust and occasionally strange things might happen. I'd like it if someone could investigate using EW by default.
Barry
> Just my perspective.
>
> Mark
>
>> Barry
>>
>>
>>> is this the intended semantics?
>>
>>
>>> Is there perhaps a method to reset rtol?
>>>
>>> Mark
>>>
>>> Picard iteration 0 max(resid) = 781020
>>> 0 KSP Residual norm 2.499264167662e+07
>>> 1 KSP Residual norm 6.330915810095e+06
>>> 2 KSP Residual norm 1.856999435466e+06
>>> 3 KSP Residual norm 3.967325725053e+05
>>> 4 KSP Residual norm 9.037332775808e+04
>>> 5 KSP Residual norm 1.826960320400e+04
>>> Linear solve converged due to CONVERGED_RTOL iterations 5
>>> Picard iteration 1 max(resid) = 727577 ------- Rate = 1.07345
>>> 0 KSP Residual norm 6.885328126772e+06
>>> 1 KSP Residual norm 2.150319244570e+06
>>> 2 KSP Residual norm 2.297759417371e+05
>>> 3 KSP Residual norm 3.321819214451e+04
>>> 4 KSP Residual norm 4.155970071625e+03
>>> Linear solve converged due to CONVERGED_RTOL iterations 4
>>> Picard iteration 2 max(resid) = 486788 ------- Rate = 1.49465
>>> 0 KSP Residual norm 2.987417661953e+06
>>> 1 KSP Residual norm 5.046119985008e+05
>>> 2 KSP Residual norm 3.882757664605e+04
>>> 3 KSP Residual norm 4.106091678345e+03
>>> Linear solve converged due to CONVERGED_RTOL iterations 3
>>> Picard iteration 3 max(resid) = 137348 ------- Rate = 3.54418
>>> 0 KSP Residual norm 7.285359985607e+05
>>> 1 KSP Residual norm 9.132700545850e+04
>>> 2 KSP Residual norm 6.834608381922e+03
>>> Linear solve converged due to CONVERGED_RTOL iterations 2
>>> Picard iteration 4 max(resid) = 25082.7 ------- Rate = 5.47582
>>> 0 KSP Residual norm 1.207523847817e+05
>>> 1 KSP Residual norm 1.286174706329e+04
>>> Linear solve converged due to CONVERGED_RTOL iterations 1
>>> Picard iteration 5 max(resid) = 5723.21 ------- Rate = 4.38264
>>> 0 KSP Residual norm 2.211945822133e+04
>>> Linear solve converged due to CONVERGED_RTOL iterations 0
>>>
>>
>>
>
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