[petsc-users] TimeStepper norm problems.
Andrew Spott
ansp6066 at colorado.edu
Fri Mar 20 17:00:08 CDT 2015
I’m sorry, I’m not trying to be difficult, but I’m not following.
The manual states (for my special case):
u ̇ = A(t)u. Use
TSSetProblemType(ts,TS LINEAR);
TSSetRHSFunction(ts,NULL,TSComputeRHSFunctionLinear,NULL);
TSSetRHSJacobian(ts,A,A,YourComputeRHSJacobian,&appctx);
where YourComputeRHSJacobian() is a function you provide that computes A as a function of
time. Or use ...
My `func` does this. It is 7 lines:
context* c = static_cast<context*>( G_u );
PetscScalar e = c->E( t_ );
MatCopy( c->D, A, SAME_NONZERO_PATTERN );
MatShift( A, e );
MatDiagonalSet( A, c->H0, INSERT_VALUES);
MatShift( A, std::complex<double>( 0, -1 ) );
return 0;
SHOULD `func` touch U? If so, what should `func` do to U? I thought that the RHSJacobian function was only meant to create A, since dG/du = A(t) (for this special case).
-Andrew
On Fri, Mar 20, 2015 at 3:26 PM, Matthew Knepley <knepley at gmail.com>
wrote:
> On Fri, Mar 20, 2015 at 3:09 PM, Andrew Spott <ansp6066 at colorado.edu> wrote:
>> So, it doesn’t seem that zeroing the given vector in the function passed
>> to TSSetRHSJacobian is the problem. When I do that, it just zeros out the
>> solution.
>>
> I would think you would zero the residual vector (if you add to it to
> construct the residual, as in FEM methods), not the solution.
>> The function that is passed to TSSetRHSJacobian has only one
>> responsibility — to create the jacobian — correct? In my case this is
>> A(t). The solution vector is given for when you are solving nonlinear
>> problems (A(t) also depends on U(t)). In my case, I don’t even look at the
>> solution vector (because my A(t) doesn’t depend on it).
>>
> Are you initializing the Jacobian to 0 first?
> Thanks,
> Matt
>> Is this the case? or is there some other responsibility of said function?
>>
>> -Andrew
>>
>> >Ah ha!
>> >
>> >The function passed to TSSetRHSJacobian needs to zero the solution vector?
>> >
>> >As a point, this isn’t mentioned in any documentation that I can find.
>> >
>> >-Andrew
>>
>> On Friday, Mar 20, 2015 at 2:17 PM, Matthew Knepley <knepley at gmail.com>,
>> wrote:
>>
>>> This sounds like a problem in your calculation function where a Vec or
>>> Mat does not get reset to 0, but it does in your by hand code.
>>>
>>> Matt
>>> On Mar 20, 2015 2:52 PM, "Andrew Spott" <ansp6066 at colorado.edu> wrote:
>>>
>>>> I have a fairly simple problem that I’m trying to timestep:
>>>>
>>>> u’ = A(t) u
>>>>
>>>> I’m using the crank-nicholson method, which I understand (for this
>>>> problem) to be:
>>>>
>>>> u(t + h) = u(t) + h/2[A(t+h)*u(t+h) + A(t)*u(t)]
>>>> or
>>>> [1 - h/2 * A(t+1)] u(t+1) = [1 + h/2 * A(t)] u(t)
>>>>
>>>> When I attempt to timestep using PETSc, the norm of `u` blows up. When
>>>> I do it directly (using the above), the norm of `u` doesn’t blow up.
>>>>
>>>> It is important to note that the solution generated after the first step
>>>> is identical for both, but the second step for Petsc has a norm of ~2,
>>>> while for the directly calculated version it is ~1. The third step for
>>>> petsc has a norm of ~4, while the directly calculated version it is still
>>>> ~1.
>>>>
>>>> I’m not sure what I’m doing wrong.
>>>>
>>>> PETSc code is taken out of the manual and is pretty simple:
>>>>
>>>> TSCreate( comm, &ts );
>>>> TSSetProblemType( ts, TS_LINEAR);
>>>> TSSetType( ts, TSCN );
>>>> TSSetInitialTimeStep( ts, 0, 0.01 );
>>>> TSSetDuration( ts, 5, 0.03 );
>>>> TSSetFromOptions( ts );
>>>> TSSetRHSFunction( ts, NULL, TSComputeRHSFunctionLinear, NULL );
>>>> TSSetRHSJacobian( ts, A, A, func, &cntx );
>>>> TSSolve( ts, psi0 );
>>>>
>>>> `func` just constructs A(t) at the time given. The same code for
>>>> calculating A(t) is used in both calculations, along with the same initial
>>>> vector psi0, and the same time steps.
>>>>
>>>> Let me know what other information is needed. I’m not sure what could
>>>> be the problem. `func` doesn’t touch U at all (should it?).
>>>>
>>>> -Andrew
>>>>
>>>>
> --
> What most experimenters take for granted before they begin their
> experiments is infinitely more interesting than any results to which their
> experiments lead.
> -- Norbert Wiener
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