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A dual perspective on separable semidefinite programming with applications to optimal downlink beamforming.
Yongwei Huang
Daniel Pérez Palomar
Published in:
IEEE Trans. Signal Process. (2010)
Keyphrases
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semidefinite programming
primal dual
linear programming
interior point methods
kernel matrix
semidefinite
machine learning
dynamic programming
linear program
training data
bayesian networks
optimal solution
feature space
markov random field
convergence rate
convex optimization