[petsc-users] TimeStepper norm problems.
Andrew Spott
ansp6066 at colorado.edu
Fri Mar 20 18:39:50 CDT 2015
Sorry it took so long, I wanted to create a “reduced” case (without all my parameter handling and other stuff…)
https://gist.github.com/spott/aea8070f35e79e7249e6
The first section does it using the time stepper. The second section does it by explicitly doing the steps. The output is:
//first section, using TimeStepper:
t: 0 step: 0 norm-1: 0
t: 0.01 step: 1 norm-1: 0
t: 0.02 step: 2 norm-1: 0.999995
t: 0.03 step: 3 norm-1: 2.99998
//Second section, using explicit code.
t: 0.01 norm-1: 0
t: 0.02 norm-1: 0
t: 0.02 norm-1: 2.22045e-16
On Fri, Mar 20, 2015 at 4:45 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:
> Andrew,
> Send your entire code. It will be easier and faster than talking past each other.
> Barry
>> On Mar 20, 2015, at 5:00 PM, Andrew Spott <ansp6066 at colorado.edu> wrote:
>>
>> 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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