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Convex geometry and point set configurations form a pivotal area of research in computational geometry, where the primary focus is the study of convex sets and the intricate arrangements of points in ...
Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming
A Bregman function is a strictly convex, differentiable function that induces a well-behaved distance measure or D-function on Euclidean space. This paper shows that, for every Bregman function, there ...
Journal of Applied Probability, Vol. 25, No. 4 (Dec., 1988), pp. 688-699 (12 pages) The convex hull of n points drawn independently from a uniform distribution on the interior of a d-dimensional ...
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