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We consider the problem of minimization for a function with Lipschitz continuous gradient on a proximally smooth and smooth manifold in a finite dimensional Euclidean space. We consider the Lezanski-Polyak-Lojasiewicz… Click to show full abstract
We consider the problem of minimization for a function with Lipschitz continuous gradient on a proximally smooth and smooth manifold in a finite dimensional Euclidean space. We consider the Lezanski-Polyak-Lojasiewicz (LPL) conditions in this problem of constrained optimization. We prove that the gradient projection algorithm for the problem converges with a linear rate when the LPL condition holds.
Keywords:
algorithm smooth;
projection algorithm;
gradient projection;
smooth sets;
sets functions
Journal Title: Set-valued and Variational Analysis
Year Published: 2020
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Journal Title: Set-valued and Variational Analysis
Year Published: 2020
Link to full text (if available)
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recommendations!