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- W1569711200 abstract "In this paper, by improving the variable-splitting approach, we propose a new semidefinite programming (SDP) relaxation for the nonconvex quadratic optimization problem over the $ell_1$ unit ball (QPL1). It dominates the state-of-the-art SDP-based bound for (QPL1). As extensions, we apply the new approach to the relaxation problem of the sparse principal component analysis and the nonconvex quadratic optimization problem over the $ell_p$ ($1< p<2$) unit ball and then show the dominance of the new relaxation." @default.
- W1569711200 created "2016-06-24" @default.
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- W1569711200 date "2013-12-31" @default.
- W1569711200 modified "2023-09-27" @default.
- W1569711200 title "A new semidefinite relaxation for $ell_{1}$-constrained quadratic optimization and extensions" @default.
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