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Add Support for User-Provided ODEProblems #4

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azane opened this issue Aug 9, 2024 · 0 comments
Open

Add Support for User-Provided ODEProblems #4

azane opened this issue Aug 9, 2024 · 0 comments

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@azane
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azane commented Aug 9, 2024

Ideally, a user should be able to define (and compile) an ODEProblem directly in julia, and then provide that DiffEqPy. This shouldn't be a major lift, but will require some additional utilities.

Also, because the current julianumpy backend represents symbolic arrays as arrays of symbolics, compile times can be prohibitively long for large or high dimensional systems. Defining and compiling an ODEProblem in julia directly should be the easiest way to sidestep compile-time issues.

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