[petsc-users] projection methods in TS
Barry Smith
bsmith at mcs.anl.gov
Sat Feb 4 21:37:19 CST 2017
Emil,
Information about "projection methods" vs solving as a DAE should be documented in the users manual, manual pages, or FAQ....
> On Feb 4, 2017, at 9:26 PM, Emil Constantinescu <emconsta at mcs.anl.gov> wrote:
>
>
>
> On 2/4/17 11:00 AM, Matthew Knepley wrote:
>> On Sat, Feb 4, 2017 at 9:47 AM, Gideon Simpson <gideon.simpson at gmail.com
>> <mailto:gideon.simpson at gmail.com>> wrote:
>>
>> Would setting it up as a DAE in petsc be algorithmically euivalent
>> to a projected method (i.e., step of standard RK followed by
>> nonlinear projection)?
>
> Not quite, if you set it as a DAE, then both the time stepping part and the algebraic constraint are solved at the same time (you are going to use an implicit time stepping method.
>
> So for backward Euler and DAE, PETSc solves something like:
>
> y_{n+1} - y{n} - dt* f(y_{n+1}) = 0
> g(y_{n+1}) = 0
>
> By projection (assuming index 1 or 2): you are solving
>
> y* - y{n} - dt* f(y*) = 0
>
> then initialize SNES to y* and solve:
>
> g(y_{n+1}) = 0
>
> In some cases g(y_{n+1}) may not have a value (you may not land on the manifold that is defined by the conservation property). Whereas, if you define it as a DAE in almost all cases (there are crazy exceptions) you will.
>
>
> Emil
>
>>
>> I am not sure, as I do not understand those solvers. However, I wrote my
>> own solver that does exactly that MIMEX.
>>
>> Matt
>>
>>
>> -gideon
>>
>>> On Feb 3, 2017, at 11:47 PM, Matthew Knepley <knepley at gmail.com
>>> <mailto:knepley at gmail.com>> wrote:
>>>
>>> That is one answer. Another one is that this particular system is
>>> a DAE and we have methods for that.
>>>
>>> Matt
>>>
>>> On Fri, Feb 3, 2017 at 8:40 PM, Barry Smith <bsmith at mcs.anl.gov
>>> <mailto:bsmith at mcs.anl.gov>> wrote:
>>>
>>>
>>> TSSetPostStep(); in your function use TSGetSolution() to get
>>> the current solution.
>>>
>>> Please let us know how it works out
>>>
>>> Barry
>>>
>>>
>>>
>>> > On Feb 3, 2017, at 7:14 PM, Gideon Simpson
>>> <gideon.simpson at gmail.com <mailto:gideon.simpson at gmail.com>>
>>> wrote:
>>> >
>>> > I’m interested in implementing a projection method for an
>>> ODE of the form:
>>> >
>>> > y’ = f(y),
>>> >
>>> > such that g(y) = 0 for all time (i.e., g is conserved).
>>> Note that in a projection method, a standard time step is made
>>> to produce y* from y_{n}, and then this is corrected to obtain
>>> y_{n+1} satisfying g(y) = 0.
>>> >
>>> > There were two ways I was thinking of doing this, and I was
>>> hoping to get some input:
>>> >
>>> > Idea 1: Manually loop through using taking a time step and
>>> then implementing the projection routine. I see that there is
>>> a TSStep command, but this doesn’t seem to be much
>>> documentation on how to use it in this scenario. Does anyone
>>> have any guidance?
>>> >
>>> > Idea 2: Is there some analog to TSMonitor that allows me to
>>> modify the solution after each time step, instead of just
>>> allowing for some computation of a statistic?
>>> >
>>> >
>>>
>>>
>>>
>>>
>>> --
>>> 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
>>
>>
>>
>>
>> --
>> 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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