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Samples of 500 points from the standard normal distribution in R³, and their convex hulls
Realization 1:
Realization 2:
Realization 3:
Note how a small number of the sampled points define the vertices of the hull. If you repeat this procedure 500 times, you find that usually around 32 points will be on the hull.
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Someone should write a good convex analysis textbook that: a) is more legible and intuitive than Rockafellar (1970) b) generalizes outside of R^n wherever possible
I cant believe i spent so much time studying for this exam and yet it went so horribly - no conceptual questions; all computational and fucking stupid
im so done
