Comments (3)
I think this MWE of using a large sparse matrix with ModelingToolkit.jl is a good place to start this!
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discourse post for reference: https://discourse.julialang.org/t/solving-for-the-steady-state-of-a-large-nonlinear-ode-in-sciml/50613/16
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Some more thoughts and notes on a hard-to-solve mode I stumbled upon. It took 75 iterations of the CTKAlg, with about 50 of them going through a two-step Armijo line search. I am thinking this might be similar to some complex dampening oscillator for which the Newton steps always overshoot the root in some directions but not others.... Anyway, it could be good to come up with a minimal example that behaves the same way (if possible). The coarser matrices help. #61 could be very useful for this. Also maybe the high-diffusivity matrices might be beneficial too.
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Related Issues (20)
- Consider using ModelParameters.jl for parameters HOT 1
- Evaluate parameter cost in λ space
- Memoize some functions
- Issues with replicating documentation example HOT 3
- Precompute mismatch scaling factor
- Multigrid / coarse graining
- Rivers numerical noise HOT 1
- Fix transportoperator for OCCA matrix
- Fix docs plots with new recipes' aspect ratio defaullt
- Add Kok et al dataset
- Fix unpack_tracers for single tracer
- transportoperator documentation HOT 1
- Missing GEOTRACESTools? HOT 1
- Comments on JOSSpaper/paper.md HOT 4
- Accessing lat/lon from Transects HOT 1
- OCIM2-48L HOT 2
- Change from DiffEqBase to SciMLBase
- Use of flatten in both AIBECS and DataFrames HOT 1
- Remove UnitfulRecipes (deprecated) HOT 1
- AIBECS precompiling issue HOT 3
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