Exploiting sparsity in the coefficient matching conditions in sum-of-squares programming using ADMM
This letter introduces an efficient first-order method based on the alternating direction method of multipliers (ADMM) to solve semidefinite programs arising from sum-of-squares (SOS) programming. We exploit the sparsity of the coefficient matching conditions when SOS programs are formulated in the...
| Auteurs principaux: | , , |
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| Format: | Journal article |
| Publié: |
IEEE
2017
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