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20172026
most citedRiemannian Smoothing Gradient Type Algorithms]{Riemannian Smoothing Gradient Type Algorithms for Nonsmooth Optimization Problem on Compact Riemannian Submanifold Embedded in Euclidean Space

7 citations · 18 across the 14 of their papers we have counts for

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math.OC2017★ 2 cited

Adaptive Regularized Newton Method for Riemannian Optimization

Jiang Hu, Andre Milzarek, Zaiwen Wen +1

Optimization on Riemannian manifolds widely arises in eigenvalue computation, density functional theory, Bose-Einstein condensates, low rank nearest correlation, image registration…