Hello.
This is in reference to the second feature request in issue
https://issues.apache.org/jira/browse/MATH-353
If I'm not mistaken, this interpolation algorithm requires a regular grid of
samples.
The method "interpolate" in interface "MultivariateRealInterpolator" cannot
enforce this as the sample coordinates must be specified independently for
each sample; they are passed in a single variable:
void interpolate(double[][] samples, double[] values)
e.g. in 2D, samples[i][0] is the x-coordinate,
samples[i][1] is the y-coordinate,
values[i] is f(samples[i][0], samples[i][1])
For a grid in 2D, there should be:
void interpolate(double[] x, double[] y, double[][] values)
i.e. x[i] is the i-th grid x-coordinate
y[j] is the j-th grid y-coordinate
both x and y must be sorted in increasing order
values[i][j] is f(x[i], y[j])
Should we create a "BivariateRealGridInterpolator" interface?
Best,
Gilles
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