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Matlab has a GriddedInterpolant function which when used in "spline" interpolation mode, can generate cubic splines for n dimensional data, like splinter. However, Matlab's GriddedInterpolant function uses not-a-knot end conditions, which gives it distinctly different characteristics to splinter near the edges of the data set.
Support for optionally using not-a-knot end conditions when building a spline would be really useful.
The text was updated successfully, but these errors were encountered:
Matlab has a GriddedInterpolant function which when used in "spline" interpolation mode, can generate cubic splines for n dimensional data, like splinter. However, Matlab's GriddedInterpolant function uses not-a-knot end conditions, which gives it distinctly different characteristics to splinter near the edges of the data set.
Support for optionally using not-a-knot end conditions when building a spline would be really useful.
The text was updated successfully, but these errors were encountered: