Zobrazeno 1 - 10
of 990
pro vyhledávání: '"Higham, Nicholas"'
Autor:
BERARD, CHRISTOPHER MICHAEL
Publikováno v:
Arthuriana, 2020 Apr 01. 30(1), 141-143.
Externí odkaz:
https://www.jstor.org/stable/27159048
Autor:
Higham, Nicholas J.
Bidiagonal matrices are widespread in numerical linear algebra, not least because of their use in the standard algorithm for computing the singular value decomposition and their appearance as LU factors of tridiagonal matrices. We show that bidiagona
Externí odkaz:
http://arxiv.org/abs/2311.06609
We identify and analyse obstructions to factorisation of integer matrices into products $N^T N$ or $N^2$ of matrices with rational or integer entries. The obstructions arise as quadratic forms with integer coefficients and raise the question of the d
Externí odkaz:
http://arxiv.org/abs/2103.04149
Autor:
Abdelfattah, Ahmad, Anzt, Hartwig, Boman, Erik G., Carson, Erin, Cojean, Terry, Dongarra, Jack, Gates, Mark, Grützmacher, Thomas, Higham, Nicholas J., Li, Sherry, Lindquist, Neil, Liu, Yang, Loe, Jennifer, Luszczek, Piotr, Nayak, Pratik, Pranesh, Sri, Rajamanickam, Siva, Ribizel, Tobias, Smith, Barry, Swirydowicz, Kasia, Thomas, Stephen, Tomov, Stanimire, Tsai, Yaohung M., Yamazaki, Ichitaro, Yang, Urike Meier
Within the past years, hardware vendors have started designing low precision special function units in response to the demand of the Machine Learning community and their demand for high compute power in low precision formats. Also the server-line pro
Externí odkaz:
http://arxiv.org/abs/2007.06674
Evaluating the log-sum-exp function or the softmax function is a key step in many modern data science algorithms, notably in inference and classification. Because of the exponentials that these functions contain, the evaluation is prone to overflow a
Externí odkaz:
http://arxiv.org/abs/1909.03469
Autor:
Viswanath, Divakar
Publikováno v:
SIAM Review, 2001 Dec 01. 43(4), 743-744.
Externí odkaz:
https://www.jstor.org/stable/3649746
Akademický článek
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We present Etymo (https://etymo.io), a discovery engine to facilitate artificial intelligence (AI) research and development. It aims to help readers navigate a large number of AI-related papers published every week by using a novel form of search tha
Externí odkaz:
http://arxiv.org/abs/1801.08573