Geodesic
Gradient Projection Algorithm for Strongly Convex Set
Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, Tome 13 (2013) no. 1, pp. 33-38.

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In our work we will discuss standard gradient projection algorithm, where a set is strongly convex of radius $R$ and a function is convex, differentiable and its gradient satisfies Lipschitz condition. We proved that under some natural additional conditions algorithm converges with the rate of a geometric progression. 
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M. O. Golubev. Gradient Projection Algorithm for Strongly Convex Set. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, Tome 13 (2013) no. 1, pp. 33-38. http://geodesic.mathdoc.fr/item/ISU_2013_13_1_a7/

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