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math.OC2022
Manifold Free Riemannian Optimization
Boris Shustin, Haim Avron, Barak Sober
Riemannian optimization is a principled framework for solving optimization problems where the desired optimum is constrained to a smooth manifold . Algorithms designed…
math.OC2022★ 3 cited
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
Gregory Dexter, Agniva Chowdhury, Haim Avron +1
Interior point methods (IPMs) are a common approach for solving linear programs (LPs) with strong theoretical guarantees and solid empirical performance. The time complexity of the…