Proves global linear convergence of a gradient projection method on manifolds via the Lezanski-Polyak-Lojasiewicz condition and identifies conditions for linear-rate global convergence of the full-step conditional gradient algorithm.
Udri¸ ste, Convex Functions and Optimization Methods on Riemannian Manifolds, Mathe- matics and Its Applications series, vol
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Gradient projection and conditional gradient methods for constrained nonconvex minimization
Proves global linear convergence of a gradient projection method on manifolds via the Lezanski-Polyak-Lojasiewicz condition and identifies conditions for linear-rate global convergence of the full-step conditional gradient algorithm.