Results 11 to 20 of about 37,640 (313)
Stochastic Subspace Method for Experimental Modal Analysis
MATEC Web of Conferences, 2016 The formula of stochastic subspace identification method is deduced in details and the program is written out. The two methods are verified by a vibration test on a 5-floor rigid frame model.
Liu Dazhi +5 more
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The method of subspace corrections
Journal of Computational and Applied Mathematics, 2001 The article presents an overview on the method of subspace corrections, which provides a unified view of many iterative procedures in numerical mathematics, e.g. Jacobi- and Gauss-Seidel iteration, successive overrelaxation, multigrid methods and domain decomposition methods.
Jinchao Xu, Xu, Jinchao
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Cone-restricted subspace methods [PDF]
2008 19th International Conference on Pattern Recognition, 2008 In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper, we propose cone-restricted subspace methods. The proposed methods admit the scaling and additivity of vectors as well as ordinary subspace methods; in addition, vectors can ...
Takumi Kobayashi 0001, Nobuyuki Otsu
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Frontiers in Built Environment, 2017 A system identification (SI) problem of high-rise buildings is investigated under restricted data environments. The shear and bending stiffnesses of a shear-bending model (SB model) representing the high-rise buildings are identified via the smart ...
Kohei Fujita +2 more
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Kron’s method of subspaces [PDF]
Quarterly of Applied Mathematics, 1944 Not ...
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Subspace Methods for Nonlinear Optimization
CSIAM Transactions on Applied Mathematics, 2021 Summary: Subspace techniques such as Krylov subspace methods have been well known and extensively used in numerical linear algebra. They are also ubiquitous and becoming indispensable tools in nonlinear optimization due to their ability to handle large scale problems. There are generally two types of principals: i) the decision variable is updated in a
Liu, Xin, Wen, Zaiwen, Yuan, Ya-Xiang
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Anomaly Community Detection Method via Subspace Combining Node Attribute and Structure Information [PDF]
Jisuanji gongcheng, 2020 This paper proposes an anomaly community detection method via subspace by combining node attributes with structure information.First,in the given set of to-be-tested communities,the subspace solution strategy based on the average distance of attributes ...
ZHAO Qiqi, MA Huifang, LIU Haijiao, JIA Junjie
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Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace Approach
Information, 2018 The conventional channel estimation schemes for filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) systems are mainly based on preamble methods.
Han Wang +3 more
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, 2019 With increasingly many variables available to macroeconomic forecasters, dimension reduction methods are essential to obtain accurate forecasts. Subspace methods are a new class of dimension reduction methods that have been found to yield precise forecasts when applied to macroeconomic and financial data.
Boot, Tom, Nibbering, Didier
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Matched subspace detection with hypothesis dependent noise power [PDF]
, 2008 We consider the problem of detecting a subspace signal in white Gaussian noise when the noise power may be different under the null hypothesis—where it is assumed to be known—and the alternative hypothesis.
Cédric Richard +8 more
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