Positive semidefinite programming: mixed, parallel, and width-independent
Author:
Affiliation:
1. Stanford University, USA
2. University of Washington, USA / Microsoft Research, USA
3. Microsoft Research, USA
4. University of Washington, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3357713.3384338
Reference35 articles.
1. Perron-Frobenius Theory in Nearly Linear Time: Positive Eigenvectors, M-matrices, Graph Kernels, and Other Applications
2. A combinatorial, primal-dual approach to semidefinite programs
3. Expander flows, geometric embeddings and graph partitioning
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