There will always be some part of your scripts that requires some amount of running time (ie the most computation), and maybe even a significant proportion of the total running time. The other lines of code in your screenshot are array allocations and calls to zeros, both of which are many times simpler than spline fitting. Do you expect spline fitting to also take <0.01 seconds? Fitting a spline 976 times in 1.61 seconds, complete with error checking and other input handling... is that so slow?
How big are your data arrays?
Possibilities to speed up the script:
- If WayPoints does not change between some iterations, then you can calculate it once and use the same values for several/all iterations.
- Open the cscvn Mfile (if it has one), remove all the error-checking and array-wrangling at the start, use profile to check which parts you actually use, and save a local copy with only the parts that you need (use a different function name, and do not save over the original Mfile).
