Hi, I have discrete data sampled at a constant rate. I need the first, second, and third derivatives with respect to time. Is there a Julia package that could help me do that? Things that I’ve considered so far: Use finite differences from either FiniteDiff.jl or FiniteDifferences.jl , but both ap…

Below is @rafael.guerra ’s example using BSplineKit. using BSplineKit f(x) = exp(-2x) x = 0:0.1:2 y = f.(x) spl = interpolate(x, y, BSplineOrder(6)) D1f = diff(spl, Derivative(1)) D2f = diff(spl, Derivative(2)) D3f = diff(spl, Derivative(3)) using CairoMakie D3f_exact(x) = -8f(x) fig = Figure(resol…

High-order derivatives of sampled data

General Usage

DanielIngraham September 1, 2021, 5:38pm 10

Excellent, thanks everyone! I ended up going with BSplineKit. This community is great.

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High-order derivatives of sampled data

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