Result: Adaptive-Mesh-Refinement for hyperbolic systems of conservation laws based on a posteriori stabilized high order polynomial reconstructions: Adaptive-mesh-refinement for hyperbolic systems of conservation laws based on a posteriori stabilized high order polynomial reconstructions

Title:
Adaptive-Mesh-Refinement for hyperbolic systems of conservation laws based on a posteriori stabilized high order polynomial reconstructions: Adaptive-mesh-refinement for hyperbolic systems of conservation laws based on a posteriori stabilized high order polynomial reconstructions
Authors:
Matteo Semplice, Raphael Loubere
Source:
Journal of Computational Physics. 354:86-110
Publisher Information:
Elsevier BV, 2018.
Publication Year:
2018
Subject Terms:
MOOD paradigm, high order of accuracy in space and time, hydrodynamics, 0103 physical sciences, Mesh generation, refinement, and adaptive methods for the numerical solution of initial value and initial-boundary value problems involving PDEs, a posteriori limiter, Gas dynamics (general theory), adaptive mesh refinement, Finite volume methods applied to problems in fluid mechanics, hyperbolic conservation laws, entropy production, 01 natural sciences, \(h / p\) adaptation
Document Type:
Academic journal Article
File Description:
application/xml; application/pdf
Language:
English
ISSN:
0021-9991
DOI:
10.1016/j.jcp.2017.10.031
Access URL:
https://hal.archives-ouvertes.fr/hal-01485587/file/AMR_MOOD.pdf
https://zbmath.org/6841818
https://doi.org/10.1016/j.jcp.2017.10.031
https://hal.archives-ouvertes.fr/hal-01485587v1
https://ui.adsabs.harvard.edu/abs/2018JCoPh.354...86S/abstract
https://hal.inria.fr/hal-01485587v1
https://hal.archives-ouvertes.fr/hal-01485587/document
https://iris.unito.it/handle/2318/1651581
https://dblp.uni-trier.de/db/journals/jcphy/jcphy354.html#SempliceL18
https://hdl.handle.net/2318/1651581
https://doi.org/https://doi.org/10.1016/j.jcp.2017.10.031
https://www.sciencedirect.com/science/article/pii/S0021999117307842
Rights:
Elsevier TDM
Accession Number:
edsair.doi.dedup.....b4323910b16488a33e210c96573f70aa
Database:
OpenAIRE

Further Information

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