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Yang et al., 2017 - Google Patents

A unified successive pseudoconvex approximation framework

Yang et al., 2017

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Document ID
12891230700859894097
Author
Yang Y
Pesavento M
Publication year
Publication venue
IEEE Transactions on Signal Processing

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In this paper, we propose a successive pseudoconvex approximation algorithm to efficiently compute stationary points for a large class of possibly nonconvex optimization problems. The stationary points are obtained by solving a sequence of successively refined …
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