Projected Stochastic Gradients for Convex Constrained Problems in Hilbert Spaces
Author:
Funder
Austrian Science Fund
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software
Link
https://epubs.siam.org/doi/pdf/10.1137/18M1200208
Reference22 articles.
1. On the projected subgradient method for nonsmooth convex optimization in a Hilbert space
2. Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations
3. Gradient Convergence in Gradient methods with Errors
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