I am using the DifferentialEquations package to simulate Hodgkin Huxley neurons. This involves evaluating certain parameters inside the ODE function using dependent variables for which I need to make function calls from within the ODE function, e.g. V = u[1]; [param1, param2] = my_function(V); du…

Problem with using ODE solvers with autodifferentiation

Nirvik October 12, 2019, 6:00pm 5

Thanks for clarifying. So is it using/not using autodiff that makes the difference here?

Topic		Replies	Views
Autodifferencing and type stability in DifferentialEquations.jl New to Julia diffeq	5	738	January 18, 2022
Forward differentiation and differential equations Modelling & Simulations diffeq , differentiation , optim , optimization	13	4533	November 7, 2023
Passing the next proposed time step as a parameter into your ODEFunction where du depends on dt General Usage	7	132	July 10, 2025
Using ForwardDiff to differentiate an ODE with respect to some of its parameters Modelling & Simulations	5	669	April 10, 2020
Strange Behaviour of Stiff Solvers in DifferentialEquations.jl Numerics diffeq	2	676	November 23, 2019