What is N-dimensional Convex Hull: Quicker Hull Algorithm?

Matlab Convhulln

Matlab convhulln is your ticket to using the quickhull algorithm efficiently. But, honestly, one thing that might trip you up with this mex routine is how it handles all the points without doing any initial filtering.

Why Filtering Matters

In many situations, it would actually save time if we only sent the points that could be part of the convex hull to the quick hull algorithm. This way, we avoid bogging down the process with unnecessary data.

N-dimensional Convex Hull: Quicker Hull Algorithm

The N-dimensional Convex Hull: Quicker Hull Algorithm can step in here! It’s an awesome algorithm that helps reduce the number of points before passing them on to the mex routine. This can really speed things up.

Speed Boost for Lower Dimensions

If you're working with large models that are less than 6 dimensions, you'll notice some impressive speed improvements—sometimes by several factors! That’s a huge win for anyone crunching numbers!

High Dimensions Challenge

Now, I should mention that while filtering points can speed things up in lower dimensions, it takes time too. When you get into higher dimensions, filtering might not be worth it anymore. But don’t worry! In those cases, the algorithm just switches back to using the normal convhulln method.

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