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using DiffEqNoiseProcess
using DifferentialEquations
u0 =rand(2)
tgrid =0.0:0.1:10.0
brownian_noise =randn(length(u0)*(length(tgrid)-1))
brownian_noise =reshape(brownian_noise,length(u0),length(tgrid)-1)
brownian_noise =vcat([zeros(length(u0))], [c for c ineachcol(brownian_noise)])
W =NoiseGrid(tgrid,brownian_noise)
prob =NoiseProblem(W, (tgrid[begin], tgrid[end]))
sol =solve(prob; dt =0.01)
ERROR: Stepped past the defined domain for the NoiseGrid
The text was updated successfully, but these errors were encountered:
ERROR: Stepped past the defined domain for the NoiseGrid
The text was updated successfully, but these errors were encountered: