Convergence Analysis of the Proximal Gradient Method in the Presence of the Kurdyka–Łojasiewicz Property Without Global Lipschitz Assumptions
Author:
Affiliation:
1. Institute of Mathematics, University of Würzburg, 97074 Würzburg, Germany.
2. Faculty of Mathematics, University of Duisburg-Essen, 45127 Essen, Germany.
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software,Applied Mathematics
Reference46 articles.
1. Convergence of the Iterates of Descent Methods for Analytic Cost Functions
2. Accelerating the DC algorithm for smooth functions
3. On the convergence of the proximal algorithm for nonsmooth functions involving analytic features
4. Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality
5. Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods
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