Finding sparse, equivalent SDPs using minimal coordinate projections

We present a new method for simplifying SDPs that blends aspects of symmetry reduction with sparsity exploitation. By identifying a subspace of sparse matrices that provably intersects (but doesn't necessarily contain) the set of optimal solutions, we both block-diagonalize semidefinite constra...

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Bibliographic Details
Main Authors: Permenter, Frank Noble (Author), Parrilo, Pablo A. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: IEEE, 2019-07-09T15:03:39Z.
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