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Chebyshev Accelerated Spectral Clustering
Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021Spectral clustering is widely used in modern data analysis. Spectral clustering methods speed up the computation and keep useful information by reducing dimensionality. Recently, graph signal filtering (GSF) has been introduced to further speed up the dimensionality reduction process by avoiding solving eigenvectors.
Tianyu Yu 0005 +4 more
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A hybrid computational intelligence approach to predict spectral acceleration
Measurement: Journal of the International Measurement Confederation, 2019 © 2019 Elsevier Ltd In this study, a new explicit method has been suggested to predict the spectral acceleration characteristic of strong ground-motions based on hybridizing genetic algorithm (GA), multilayer perceptron neural network (MLPNN), and ...
Mohsen Akhani +2 more
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Accelerating ptychography with spectral initializations
Quantitative Phase Imaging VII, 2021Combining synthetic aperture approaches with reference-less setups, ptychography is a promising phase retrieval technique for label-free quantitative phase imaging. Within the phase retrieval community, spectral methods are known to accelerate gradient descent schemes, however their positive effect on experimental ptychographic datasets has not been ...
Lorenzo Valzania +2 more
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A multi‐pass method for accelerated spectral sampling
Computer Graphics Forum, 2021AbstractSpectral Monte Carlo rendering can simulate advanced light phenomena, such as chromatic dispersion, but typically shows a slow convergence behavior. Properly sampling the spectral domain can be challenging in scenes with many complex spectral distributions. To this end, we propose a multi‐pass approach.
Mark van de Ruit, Elmar Eisemann
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Accelerated Spectral Analysis of Compact Operators
SIAM Journal on Numerical Analysis, 1984Let K be a linear compact operator in a Banach space. The eigenvalues and eigenelements of K are to be approximated. Let \(\tilde K\) be an operator of a finite rank such that \(r(\Delta)
Dellwo, David R., Friedman, Morton B.
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Empirical Correlations between the Spectral Input Energy and Spectral Acceleration
Journal of Earthquake Engineering, 2022Correlating different intensity measures (IMs) enables the joint consideration of multiple IMs in various performance-based earthquake engineering applications, such as ground motion selection. The correlations between the spectral input energy and spectral accelerations have not been previously examined.
Yin Cheng +3 more
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OpenACC acceleration of the Nek5000 spectral element code
The International Journal of High Performance Computing Applications, 2015We present a case study of porting NekBone, a skeleton version of the Nek5000 code, to a parallel GPU-accelerated system. Nek5000 is a computational fluid dynamics code based on the spectral element method used for the simulation of incompressible flow.
Stefano Markidis +7 more
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Bulletin of Earthquake Engineering, 2017 International audienceAverage spectral acceleration, AvgSA, is defined as the geometric mean of spectral acceleration values over a range of periods and it is a ground motion intensity measure used for structural response prediction.
Mohsen Kohrangi +2 more
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Spatial Correlation of Spectral Acceleration in European Data
Bulletin of the Seismological Society of America, 2012Abstract Quantification of regional seismic risk is based on spatially correlated random fields and requires modeling of the joint distribution of ground‐motion intensity measures at all sites of interest. In particular, when a portfolio of buildings or a transportation/distribution network (lifeline) is of concern, correlation models for elastic ...
Esposito S., IERVOLINO, IUNIO
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Accelerating the convergence of spectral deferred correction methods
Journal of Computational Physics, 2006This paper is concerned with the numerical solution of stiff initial value problems for ordinary differential equations (ODEs). The proposed approach, called the spectral deferred correction, is a variant of the deferred correction method based on the integral equation formulation instead of the standard differential form, together with a Gaussian ...
Jingfang Huang +2 more
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