Hybrid Jacobian and Gauss-Seidel proximal block coordinate update methods for linearly constrained convex programming

13 Aug 2016Yangyang Xu

Recent years have witnessed the rapid development of block coordinate update (BCU) methods, which are particularly suitable for problems involving large-sized data and/or variables. In optimization, BCU first appears as the coordinate descent method that works well for smooth problems or those with separable nonsmooth terms and/or separable constraints... (read more)

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