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math.OC2023★ 2 cited
MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
Andersen Ang, Hans De Sterck, Stephen Vavasis
We study the combination of proximal gradient descent with multigrid for solving a class of possibly nonsmooth strongly convex optimization problems. We propose a multigrid proxima…
math.OC2021★ 1 cited
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
Andersen Ang, Jianzhu Ma, Nianjun Liu +2
We consider the problem of projecting a vector onto the so-called k-capped simplex, which is a hyper-cube cut by a hyperplane. For an n-dimensional input vector with bounded elemen…