DifferentialEquations.jl
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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
This MWE ```julia using DifferentialEquations using ForwardDiff: gradient function ode_f(du, u, p, t) x = u[1] v = u[2] dx = v dv = -x du[1] = dx du[2] =...
Hi, I'm trying to solve the matrix SDE problem $dA = AD_1 dW_1+D_2AdW_2$, where $A$, $D_1$ and $D_2$ are $n\times n$ matrices. I'm wondering what noise prototype I should use?...
We can either move them all to one package or create separate packages for each of them. This will help reduce loading times and dependencies in the packages that have...
It's conceivable that I'm just confused, but I've been trying to plot a single component of an EnsembleSummary for 18 dimensional SDE following the documentation here: https://docs.sciml.ai/DiffEqDocs/stable/features/ensemble/#Example-4:-Using-the-Analysis-Tools where it says:...
``` help?> PDEProblem search: PDEProblem SDEProblem ODEProblem DEProblem DDEProblem SDDEProblem RODEProblem DAEProblem BVProblem JumpProblem SplitSDEProblem SplitODEProblem NoiseProblem struct PDEProblem{P, E, S}
Not entirely sure if this should fall under DifferentialEquations.jl but here we go. I am implementing a NeuralODE using callbacks myself using DifferentialEquations (not using DiffEqFlux atm). I am noticing...
I am trying to compute some loss function of an ODE problem, and while checking the type-stability of my algorithm, I found out that using auto-switching ode solvers broke the...
Hi, Iām trying to use callbacks to create pulses to two identical systems ran through the same set of differential equations. It seems like putting the two Callbacks together results...
**TLTR** *I would like to implement a problem type for differential inclusions (aka differential equations with inequalities). Is that welcome/fitting to SciML?* # Terminology There are millions of alternative formulations...
First of all, thanks for adding the ability to selectively [enable/disable precompilation](https://docs.sciml.ai/DiffEqDocs/stable/features/low_dep/#Controlling-Function-Specialization-and-Precompilation), this makes it much nicer on the user for certain work loads š However, one thing I've noticed...