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pro vyhledávání: '"William Swartworth"'
Autor:
William Swartworth, David P. Woodruff
Given a symmetric matrix $A$, we show from the simple sketch $GAG^T$, where $G$ is a Gaussian matrix with $k = O(1/\epsilon^2)$ rows, that there is a procedure for approximating all eigenvalues of $A$ simultaneously to within $\epsilon \|A\|_F$ addit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20c72b3209e3003d644d836f99ddc147
http://arxiv.org/abs/2304.09281
http://arxiv.org/abs/2304.09281
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 43:605-637
Often in applications ranging from medical imaging and sensor networks to error correction and data science (and beyond), one needs to solve large-scale linear systems in which a fraction of the measurements have been corrupted. We consider solving s
Autor:
Xiaofu Ding, Xinyu Dong, Olivia McGough, Chenxin Shen, Annie Ulichney, Ruiyao Xu, William Swartworth, Jocelyn T. Chi, Deanna Needell
Motivated by the problem of identifying potential hierarchical population structure on modern survey data containing a wide range of complex data types, we introduce population-based hierarchical non-negative matrix factorization (PHNMF). PHNMF is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ecd6e7be0d75e9aa84877f07ea531b6
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
The Randomized Kaczmarz method (RK) is a stochastic iterative method for solving linear systems that has recently grown in popularity due to its speed and low memory requirement. Selectable Set Randomized Kaczmarz (SSRK) is an variant of RK that leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cba6f3b99b1f897aea37c96a5bcbd79
Publikováno v:
CISS
Often in applications like medical imaging, error correction, and sensor networks, one needs to solve large-scale linear systems in which a fraction of the measurements have been corrupted. We consider solving such large-scale systems of linear equat