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- W2963578791 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 ofthe sparse principal component analysis andthe nonconvex quadratic optimization problem over the $ell_p$ ($1< p<2$)unit ball and then show the dominance of the new relaxation." @default.
- W2963578791 created "2019-07-30" @default.
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- W2963578791 date "2015-01-01" @default.
- W2963578791 modified "2023-09-26" @default.
- W2963578791 title "A new semidefinite relaxation for $L_{1}$-constrained quadratic optimization and extensions" @default.
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- W2963578791 doi "https://doi.org/10.3934/naco.2015.5.185" @default.
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