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feat: support initialize_dae!
for SDEIntegrator
#594
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ChrisRackauckas
merged 10 commits into
SciML:master
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AayushSabharwal:as/override-init
Dec 11, 2024
Merged
feat: support initialize_dae!
for SDEIntegrator
#594
ChrisRackauckas
merged 10 commits into
SciML:master
from
AayushSabharwal:as/override-init
Dec 11, 2024
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Requires SciML/SciMLBase.jl#880 |
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[WIP] feat: support
feat: support Dec 4, 2024
initialize_dae!
for SDEIntegrator
initialize_dae!
for SDEIntegrator
@@ -9,6 +9,9 @@ SciMLBase.forwarddiffs_model(alg::Union{StochasticDiffEqNewtonAlgorithm, | |||
StochasticDiffEqNewtonAdaptiveAlgorithm,StochasticDiffEqJumpNewtonAdaptiveAlgorithm, | |||
StochasticDiffEqJumpNewtonDiffusionAdaptiveAlgorithm}) = OrdinaryDiffEq.alg_autodiff(alg) | |||
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# Required for initialization, because ODECore._initialize_dae! calls it during | |||
# OverrideInit | |||
OrdinaryDiffEqCore.has_autodiff(::Union{StochasticDiffEqAlgorithm,StochasticDiffEqRODEAlgorithm,StochasticDiffEqJumpAlgorithm}) = false |
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This isn't true though, some of the implicit methods have the same autodiff args as the ode solver
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I think the best way to do this is to get MTK to generate initialization systems and make sure this runs them, then merge
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