most citedDecentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds

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math.OC2024

Inexact Riemannian Gradient Descent Method for Nonconvex Optimization

Juan Zhou, Kangkang Deng, Hongxia Wang +1

Gradient descent methods are fundamental first-order optimization algorithms in both Euclidean spaces and Riemannian manifolds. However, the exact gradient is not readily available…

math.OC2023★ 1 cited

Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds

Kangkang Deng, Jiang Hu, Hongxia Wang

We study decentralized smooth optimization problems over compact submanifolds. Recasting it as a composite optimization problem, we propose a decentralized Douglas-Rachford splitti…