Update tutorial about Measurements.jl #28
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I think you should mention here that the default absolute tolerance is Other than that, looks great! |
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Now I'm using a tighter tolerance in the tutorial, so that the plots are smoother, thanks for the tip However, I've just realized that the second example still fails if using DifferentialEquations, Measurements
g = 9.79 ± 0.02; # Gravitational constants
L = 1.00 ± 0.01; # Length of the pendulum
#Initial Conditions
u₀ = [0 ± 0, π / 60 ± 0.01] # Initial speed and initial angle
tspan = (0.0, 6.3)
#Define the problem
function simplependulum(du,u,p,t)
θ = u[1]
dθ = u[2]
du[1] = dθ
du[2] = -(g/L)*θ
end
#Pass to solvers
prob = ODEProblem(simplependulum, u₀, tspan)
sol = solve(prob, Tsit5())error message: |
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Missing norm definition and one missed convert change. DiffEqBase + OrdinaryDiffEq masters now handle it fine. |
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Should work on updated versions. |
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Looks fantastic! |
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I'm too late writing, but that's ok 😅 Before update: https://nbviewer.jupyter.org/github/giordano/DiffEqTutorials.jl/blob/7e3ccc6b73f2b2c5962f09a60723609741301e7b/PhysicalModels/NumberUncertainties.ipynb Yesterday I didn't pay much attention, but errorbars were probably wrong. There is no uncertainty on times, the only quantity with uncertatinty is half-life of Carbon-14, so I have no idea where those bars on x came from 😕 Current results look more OK, also the plot in Out[10] now shows difference between numerical and analytic solution smaller than the requested tolerance |
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I've simplified the tutorial after fixes in
DiffEqBase.jlandMeasurements.jl. Preview: https://nbviewer.jupyter.org/github/giordano/DiffEqTutorials.jl/blob/3c2b974245af0738bc079739227722a48a2e41a9/PhysicalModels/NumberUncertainties.ipynb