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Diego Granziol, Binxin Ru, Xiaowen Dong, Stefan Zohren, Michael Osborne and Stephen Roberts
We propose an alternative maximum entropy approach to learning the spectra of massive graphs. In contrast to state-of-the-art Lanczos algorithm for spectral density estimation and applications thereof, our approach does not require kernel smoothing. As t...
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Caterina Fenu, Lothar Reichel and Giuseppe Rodriguez
Identifying the most important nodes according to specific centrality indices is an important issue in network analysis. Node metrics based on the computation of functions of the adjacency matrix of a network were defined by Estrada and his collaborators...
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Jan Philipp Heners, Stephan Stotz, Annette Krosse, Detlef Korte, Maximilian Beck and Damian Vogt
Unsteady pressure fluctuations measured by fast-response pressure transducers mounted in a low-pressure turbine cascade are compared to unsteady simulation results. Three differing simulation approaches are considered, one time-integration method and two...
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Toh Yen Pang and Mohammad Fard
This paper describes a new design method that was developed to achieve an optimal design method for weight reduction of a bell crank, sourced from a Louis Christen Road Racing F1 Sidecar. The method involved reverse engineering to produce a 3D model of t...
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Tiffany Fan, David I. Shuman, Shashanka Ubaru and Yousef Saad
We propose and investigate two new methods to approximate ??(??)??
f
(
A
)
b
for large, sparse, Hermitian matrices ??
A
. Computations of this form play an important role in numerous signal processing and machine learning tasks. The main idea behind bot...
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Reviewer(s) Karl Meerbergen
Pág. -
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J. I. Aliaga; D. L. Boley; R. W. Freund; V. Hernández
Pág. 1577 - 1601
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Im, C K; Chang, S
Pág. 629 - 640
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Zunoubi, M R; Donepudi, K C; Jin, J-M; Chew, W C
Pág. 1141 - 1149
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