Comments (1)
ChrisRackauckas
commented on July 23, 2024
Yes, this one is going to be really difficult to solve. I think it needs the getproperty overloading of Julia v0.7, along with some more cache control. In the meantime, here's a workaround:
using OrdinaryDiffEq, DiffEqJump, RecursiveArrayTools
function f(du,u,p,t)
du[1] = -u.x[1][1]
end
u0 = ArrayPartition([1.0],[1.0])
ode = ODEProblem(f,u0,(0.0,1.0))
rate(u,p,t) = 10*u[1]
function affect!(integrator)
integrator.u.u.x[2] .+= randn()
end
jump = VariableRateJump(rate,affect!)
jump_prob = JumpProblem(ode,Direct(),jump)
sol = solve(jump_prob,Tsit5())from jumpprocesses.jl.
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from jumpprocesses.jl.