Comments (7)
Solved in #50
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We'll keep this in mind. That tracking of the running mean could be a new callback and algorithm choice.
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Thanks @ChrisRackauckas! The steady state solvers are a wonderful feature in Julia, so I'll look forward to seeing more about them in the future. Please let me know if you need me to kick the tires at any point.
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Any contribution would be great since I don't see myself having the time for this any time soon, but wanted to at least have this around to consider having a future summer student look at psuedo-transient methods and more robust measures of steady state handing.
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Sounds good - I'll probably continue playing with it since I have to deal with this problem in research so often. If I find a termination condition that I like and is not slower than just integrating to t --> inf, I'll update that test problem with a different callback and ping you. I will leave making it efficient to the professionals.
Good luck starting your semester!
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Did you ever make a code for this?
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@ChrisRackauckas let me review it again and get back to you in the next few weeks. I don't think I did anything with it after initially creating this test case. I ended up chasing down a few different issues, and I don't think I ever went back to the steady state solver.
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Related Issues (16)
- Have an "run until steady-state" option HOT 2
- DynamicSS crashes HOT 5
- [inconsistent behaviour] DynamicSS saving all times HOT 9
- Register HOT 51
- Pseudo transient methods HOT 4
- Store nlsolve result object in solution? HOT 2
- Pass Jacobian function to NLsolve HOT 9
- TagBot trigger issue HOT 38
- Error with SteadyStateProblem and SSRootfind on GPU HOT 2
- f does not fix t=0 HOT 2
- Error when solving SteadyStateProblem with DynamicSS and Dual numbers HOT 2
- abstol and or reltol work differently with ForwardDiff vs FiniteDiff HOT 6
- tspan should probably have a default value or warning
- Enable CompatHelper
- Default solver choice requires DifferentialEquations.jl (shouldn't b the case anymore) HOT 3
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