Interpolation of Multiple 1-D Value Sets
This example shows how to interpolate three 1-D data sets in a single pass using griddedInterpolant
. This is a faster alternative to looping over your data sets.
Define the x-coordinates that are common to all value sets.
x = (1:5)';
Define the sets of sample points along the columns of matrix V.
V = [x, 2*x, 3*x]
V = 5×3
1 2 3
2 4 6
3 6 9
4 8 12
5 10 15
Create the interpolant F
by passing the sample points and sample values to griddedInterpolant
. With this setup, griddedInterpolant
interprets V
as containing three different 1-D data sets defined at the same x-values.
F = griddedInterpolant(x,V);
Create a vector of query points with 0.5
spacing.
qx = 1:0.5:5;
Evaluate the interpolant at the x-coordinates for each value set.
Vq = F(qx)
Vq = 9×3
1.0000 2.0000 3.0000
1.5000 3.0000 4.5000
2.0000 4.0000 6.0000
2.5000 5.0000 7.5000
3.0000 6.0000 9.0000
3.5000 7.0000 10.5000
4.0000 8.0000 12.0000
4.5000 9.0000 13.5000
5.0000 10.0000 15.0000