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News/Compact Lifted Relaxations for Low-Rank Optimization
arxiv
PublishedMay 22, 2026 at 4:00 AM
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Compact Lifted Relaxations for Low-Rank Optimization

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arXiv:2603.20228v2 Announce Type: replace-cross Abstract: We develop tractable convex relaxations for rank-constrained quadratic optimization problems over $n \times m$ matrices, a setting for which tractable relaxations are typically only available when the objective or constraints admit spectral s

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