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1 Ergebnisse
1
New Tools for Smoothed Analysis: Least Singular Value Bound..:
, In:
Proceedings of the 56th Annual ACM Symposium on Theory of Computing
,
Bhaskara, Aditya
;
Evert, Eric
;
Srinivas, Vaidehi
. - p. 375-386 , 2024
Link:
https://dl.acm.org/doi/10.1145/3618260.3649765
RT T1 <cTitle>Proceedings of the 56th Annual ACM Symposium on Theory of Computing</cTitle>: T1 <Title>New Tools for Smoothed Analysis: Least Singular Value Bounds for Random Matrices with Dependent Entries</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3649765&Exemplar=1&LAN=DE A1 Bhaskara, Aditya A1 Evert, Eric A1 Srinivas, Vaidehi A1 Vijayaraghavan, Aravindan PB ACM YR 2024 K1 least singular values K1 matrix anticoncentration K1 quantum entanglement K1 random matrices K1 smoothed analysis K1 tensors K1 unsupervised learning K1 Theory of computation K1 Design and analysis of algorithms K1 Randomness, geometry and discrete structures SP 375 OP 386 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3618260.3649765 DO https://dl.acm.org/doi/10.1145/3618260.3649765 SF ELIB - SuUB Bremen
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