Comments (5)
This would require that "special parameters" to be specified in the ODEProblem. For example, not any old parameter could do this because, for example, numbers that are inlined into the the function would not be able to be "found". There would need to be a field params of type ODEParameters <: DEParameters and the user would have to construct a type for this, though it could be made easier with a good constructor. The analysis could then loop through the fields of the params, jiggle them around, and give a sensitivity output.
This same setup allows for bifurcation plotting as well.
from differentialequations.jl.
Quick implementations could plug into existing tools like PyDST
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#41 is related.
from differentialequations.jl.
Simple local parameter sensitivities have been implemented. They solve the sensitivity equation using an Euler scheme at the same time as the ODE. This turns out to be terrible... I need to think of a better way to do this. Likely, ParameterizedFunctions will provide a separate SensitivityFunction which holds the ODE for a sensitivity analysis, and that will be what's solved. It might also be implemented with a MultiScaleModel....
from differentialequations.jl.
Both of these are implemented. Well, PyCall needs to fix
JuliaPy/PyCall.jl#327
JuliaPy/PyCall.jl#328
and then DiffEqBifurcate.jl is pretty much complete.
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Related Issues (20)
- "Interrupted. Larger maxiters is needed." warning when garbage collection is added HOT 7
- LoadError: TypeError: in setfield! HOT 1
- oneunit(::Type{Any} HOT 1
- Failed to precompile LoadError: UndefVarError: `OperatorAssumptions` not defined HOT 2
- ImplicitEuler fails to solve a nonlinear spring-damper problem HOT 5
- Plotting ODESolution using plot(sol) fails when using ODEFunction in combination with 'syms' keyword HOT 4
- SciML UDE tutorial code breaks in Julia 1.10 HOT 1
- StackOverflowError when passing tuple of parameters containing an `ODESolution` HOT 3
- Type-instability when using nested structs HOT 2
- Separate all automatic algorithm selection functionalities from their packages HOT 1
- taking too long time first using the package HOT 2
- LoadError during precompilation of DifferentialEquations on 1.9.3 HOT 8
- matrix SDE problem with non-diagonal noise HOT 1
- My ODE peoblems is always Aborting Help!!! HOT 13
- Compatibility with DynamicQuantities.jl – use `oneunit(::T)` instead of `oneunit(::Type{T})` HOT 3
- Error when mixing datatypes while differentiating using ForwardDiff and using FunctionWrapperSpecialize HOT 2
- feature request: Solve time parameter specification for SteadyStateProblem
- PDE and PDAE interface HOT 2
- callbacks_buckExample HOT 11
- Templates for Issues HOT 1
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