Consensus-ADMM for General Quadratically Constrained Quadratic Programming
IEEE Transactions on Signal Processing(2016)
摘要
Nonconvex quadratically constrained quadratic programming (QCQP) problems have numerous applications in signal processing, machine learning, and wireless communications, albeit the general QCQP is NP-hard, and several interesting special cases are NP-hard as well. This paper proposes a new algorithm for general QCQP. The problem is first reformulated in consensus optimization form, to which the al...
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关键词
Signal processing algorithms,Quadratic programming,Algorithm design and analysis,Cost function,Array signal processing,Convergence
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