Results 11 to 20 of about 274,981 (281)
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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Stabilization of Unstable Procedures: The Recursive Projection Method [PDF]
, 1993 Fixed-point iterative procedures for solving nonlinear parameter dependent problems can converge for some interval of parameter values and diverge as the parameter changes.
Keller, Herbert B., Shroff, Gautam M.
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Pipelined, Flexible Krylov Subspace Methods [PDF]
SIAM Journal on Scientific Computing, 2016 We present variants of the Conjugate Gradient (CG), Conjugate Residual (CR), and Generalized Minimal Residual (GMRES) methods which are both pipelined and flexible. These allow computation of inner products and norms to be overlapped with operator and nonlinear or nondeterministic preconditioner application.The methods are hence aimed at hiding network
Sanan, P., Schnepp, S. M., May, D. A.
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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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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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Discovering an active subspace in a single-diode solar cell model [PDF]
, 2015 Predictions from science and engineering models depend on the values of the model's input parameters. As the number of parameters increases, algorithmic parameter studies like optimization or uncertainty quantification require many more model evaluations.
Campanelli, Mark +2 more
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Parallel Self-Consistent-Field Calculations via Chebyshev-Filtered Subspace Acceleration [PDF]
, 2006 Solving the Kohn-Sham eigenvalue problem constitutes the most computationally expensive part in self-consistent density functional theory (DFT) calculations.
B. Fornberg +10 more
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Forecasting using random subspace methods [PDF]
Journal of Econometrics, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boot, Tom, Nibbering, Didier
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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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A homogeneous space whose complement is rigid [PDF]
, 2014 We construct a homogeneous subspace of $2^\omega$ whose complement is dense in $2^\omega$ and rigid. Using the same method, assuming Martin's Axiom, we also construct a countable dense homogeneous subspace of $2^\omega$ whose complement is dense in $2 ...
Medini, Andrea +2 more
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