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pro vyhledávání: '"Goodwin, Ariel"'
Geodesic metric spaces support a variety of averaging constructions for given finite sets. Computing such averages has generated extensive interest in diverse disciplines. Here we consider the inverse problem of recognizing computationally whether or
Externí odkaz:
http://arxiv.org/abs/2406.03913
We consider geodesically convex optimization problems involving distances to a finite set of points $A$ in a CAT(0) cubical complex. Examples include the minimum enclosing ball problem, the weighted mean and median problems, and the feasibility and p
Externí odkaz:
http://arxiv.org/abs/2405.01968
We explore a method of statistical estimation called Maximum Entropy on the Mean (MEM) which is based on an information-driven criterion that quantifies the compliance of a given point with a reference prior probability measure. At the core of this a
Externí odkaz:
http://arxiv.org/abs/2211.05205
The projection onto the epigraph or a level set of a closed proper convex function can be achieved by finding a root of a scalar equation that involves the proximal operator as a function of the proximal parameter. This paper develops the variational
Externí odkaz:
http://arxiv.org/abs/2102.06809
Autor:
Friedlander, Michael P.1 (AUTHOR) michael@friedlander.io, Goodwin, Ariel2 (AUTHOR) awg77@cornell.edu, Hoheisel, Tim2 (AUTHOR) tim.hoheisel@mcgill.ca
Publikováno v:
Mathematics of Operations Research. Aug2023, Vol. 48 Issue 3, p1711-1740. 30p.
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