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A low-rank coordinate-descent algorithm for semidefinite programming relaxations of optimal power flow.
Jakub Marecek
Martin Takác
Published in:
Optim. Methods Softw. (2017)
Keyphrases
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semidefinite programming
linear programming
low rank
learning algorithm
dynamic programming
primal dual
k means
np hard
neural network
pattern recognition
kernel matrix
semidefinite
expectation maximization
objective function
convergence rate
convex optimization
semi supervised
probabilistic model
bayesian networks