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math.OC2025
Asymptotic Linear Convergence of ADMM for Isotropic TV Norm Compressed Sensing
Emmanuel Gil Torres, Matt Jacobs, Xiangxiong Zhang
We prove an explicit local linear rate for ADMM solving the isotropic Total Variation (TV) norm compressed sensing problem in multiple dimensions, by analyzing the auxiliary variab…
math.OC2022★ 3 cited
Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints: an extended version
Shixin Zheng, Wen Huang, Bart Vandereycken +1
For smooth optimization problems with a Hermitian positive semi-definite fixed-rank constraint, we consider three existing approaches including the simple Burer--Monteiro method, a…