Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Feng Yuehua"'
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 3, Pp 87-93 (2024)
【Objective】 The Yangtze-to-Huaihe hydraulic project was initiated in 2016 to move water from the Yangtze River to the Huai River to alleviate water shortage in the latter. In this paper, we analyze water saving levels in the beneficiary areas loc
Externí odkaz:
https://doaj.org/article/f2317fe8082e4fcdab697813318db47d
Publikováno v:
Shuitu baochi tongbao, Vol 43, Iss 3, Pp 80-85 (2023)
[Objective] The specific effects of negative head irrigation system on tomato growth, irrigation method, and water utilization efficiency were studied in order to provide scientific references for improving the technical system of negative head irrig
Externí odkaz:
https://doaj.org/article/d1c51377df4246a29d5b47a55379f003
In recent years, the PageRank algorithm has garnered significant attention due to its crucial role in search engine technologies and its applications across various scientific fields. It is well-known that the power method is a classical method for c
Externí odkaz:
http://arxiv.org/abs/2406.04749
The dangling nodes is the nodes with no out-links in the web graph. It saves many computational cost and operations provided the dangling nodes are lumped into one node. In this paper, motivated by so many dangling nodes in web graph, we develop theo
Externí odkaz:
http://arxiv.org/abs/2112.13173
On the case that the number of dangling nodes is large, PageRank computation can be proceeded with a much smaller matrix through lumping all dangling nodes of a web graph into a single node. Thus, it saves many computational cost and operations. Ther
Externí odkaz:
http://arxiv.org/abs/2107.11080
Publikováno v:
In Methods March 2024 223:16-25
Autor:
Wang, Ruting, Huang, Kai, Feng, Yuehua, Duan, Jiahao, Ying, Hangfeng, Shi, Qianyuan, Zhang, Yi, Jiang, Riyue, Yang, Ling
Publikováno v:
In Neurobiology of Disease March 2024 192
Akademický článek
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Autor:
Feng, Yuehua, Lu, Linzhang
Publikováno v:
Applied Mathematics Letters, 2019, 88: 118-124
Aasen's algorithm factorizes a symmetric indefinite matrix $A$ as $A = P^TLTL^TP$, where $P$ is a permutation matrix, $L$ is unit lower triangular with its first column being the first column of the identity matrix, and $T$ is tridiagonal. In this no
Externí odkaz:
http://arxiv.org/abs/1805.08994
Publikováno v:
Electronic Transactions on Numerical Analysis, 2019, 51: 469-494
We present Flip-Flop Spectrum-Revealing QR (Flip-Flop SRQR) factorization, a significantly faster and more reliable variant of the QLP factorization of Stewart, for low-rank matrix approximations. Flip-Flop SRQR uses SRQR factorization to initialize
Externí odkaz:
http://arxiv.org/abs/1803.01982