A Proximal Minimization Algorithm for Structured Nonconvex and Nonsmooth Problems
Author:
Funder
Austrian Science Fund
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software
Link
https://epubs.siam.org/doi/pdf/10.1137/18M1190689
Reference24 articles.
1. On the convergence of the proximal algorithm for nonsmooth functions involving analytic features
2. Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality
3. Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods
4. An Inertial Tseng’s Type Proximal Algorithm for Nonsmooth and Nonconvex Optimization Problems
5. An inertial forward–backward algorithm for the minimization of the sum of two nonconvex functions
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