DiffEqNoiseProcess.jl
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SciML
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
**Describe the bug 🐞** The following snippet ```julia using StochasticDiffEq, DiffEqNoiseProcess f(u, p, t) = -u g(u, p, t) = 1.0 w = WienerProcess(0.0, 0.0) prob = SDEProblem(f, g, 0.0,...
To look for what `kwargs...` are available, I had to look at the code. I needed the `reseed=false`. If this is undocumented, it might be worth adding to the docs,...
To implement when which algorithm is compatible with which noise type we need to distinguish between them after creation. Would it be sensibele to make a type system on top...
