39 citations · 110 across the 21 of their papers we have counts for
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math.OC2019★ 15 cited
Decomposed Structured Subsets for Semidefinite and Sum-of-Squares Optimization
Jared Miller, Yang Zheng, Mario Sznaier +1
Semidefinite programs (SDPs) are standard convex problems that are frequently found in control and optimization applications. Interior-point methods can solve SDPs in polynomial ti…
math.OC2019★ 5 cited
Chordal Decomposition in Rank Minimized Semidefinite Programs with Applications to Subspace Clustering
Jared Miller, Yang Zheng, Biel Roig-Solvas +2
Semidefinite programs (SDPs) often arise in relaxations of some NP-hard problems, and if the solution of the SDP obeys certain rank constraints, the relaxation will be tight. Decom…