Piecewise polynomial interpolationΒΆ

Let us repeat the data from Poor conditioning in polynomial interpolation but use piecewise polynomials constructed using the Interpolations package.

using FundamentalsNumericalComputation
n = 12
t = LinRange(-1,1,n+1)
y = @. t^2 + t + 0.5*sin(20*t)


Here is an interpolant that is linear between each pair of consecutive nodes.

p = LinearInterpolation(t,y)
plot!(x->p(x),-1,1,label="piecewise linear")

We may instead request a smoother interpolant that is piecewise cubic.

p = CubicSplineInterpolation(t,y)
plot!(x->p(x),-1,1,label="piecewise cubic")