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math.OC2016
A variational approach to stochastic minimization of convex functionals
Miroslav Bacak
Stochastic methods for minimizing a convex integral functional, as initiated by Robbins and Monro in the early 1950s, rely on the evaluation of a gradient (or subgradient if the fu…
math.OC2012★ 3 cited
The proximal point algorithm in metric spaces
Miroslav Bacak
The proximal point algorithm, which is a well-known tool for finding minima of convex functions, is generalized from the classical Hilbert space framework into a nonlinear setting,…