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A novel weakly-intrusive non-linear multiresolution framework for uncertainty quantification in hyperbolic partial differential equations

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Date
2016
Journal Article
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Geraci, G., Congedo, P. M., Abgrall, R., & Iaccarino, G. (2016). A novel weakly-intrusive non-linear multiresolution framework for uncertainty quantification in hyperbolic partial differential equations. Journal of Scientific Computing, 66(1), 358–405. https://doi.org/10.1007/s10915-015-0026-3

Abstract

Abstract

Abstract

In this paper, a novel multiresolution framework, namely the Truncate and Encode (TE) approach, previously proposed by some of the authors (Abgrall et al. in J Comput Phys 257:19–56, 2014. doi:10.1016/j.jcp.2013.08.006), [Titel anhand dieser DOI in Citavi-Projekt übernehmen] is generalized and extended for taking into account uncertainty in partial differential equations (PDEs). Innovative ingredients are given by an algorithm permitting to recover the multiresolution representation without requiring the fully resolved solution, the p

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139 since deposited on 2017-02-01
Acq. date: 2025-11-13

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Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
66

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Number

Number
1

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Page range/Item number
358

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Page end
405

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Item Type
Journal Article

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Dewey Decimal Classifikation

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Language
English

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Publication date
2016-01

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Date available
2017-02-01

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ISSN or e-ISSN
0885-7474

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Closed

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Views

139 since deposited on 2017-02-01
Acq. date: 2025-11-13

Citations

Citation copied

Geraci, G., Congedo, P. M., Abgrall, R., & Iaccarino, G. (2016). A novel weakly-intrusive non-linear multiresolution framework for uncertainty quantification in hyperbolic partial differential equations. Journal of Scientific Computing, 66(1), 358–405. https://doi.org/10.1007/s10915-015-0026-3

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