Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Matteo Zancanaro"'
Publikováno v:
Fluids, Vol 6, Iss 8, p 296 (2021)
Geometrically parametrized partial differential equations are currently widely used in many different fields, such as shape optimization processes or patient-specific surgery studies. The focus of this work is some advances on this topic, capable of
Externí odkaz:
https://doaj.org/article/2abb9c7f4fe941b6b2e745cec103f14e
Publikováno v:
Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics ISBN: 9781611977240
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4a8f867d1fdc143a262b74026bbddb0
https://doi.org/10.1137/1.9781611977257.ch7
https://doi.org/10.1137/1.9781611977257.ch7
Autor:
Matteo Zancanaro, Saddam Hijazi, Michele Girfoglio, Andrea Mola, Giovanni Stabile, Gianluigi Rozza
Publikováno v:
Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics ISBN: 9781611977240
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4711ebd8560ed42477bfc6feb9c36154
https://doi.org/10.1137/1.9781611977257.ch8
https://doi.org/10.1137/1.9781611977257.ch8
Publikováno v:
Fluids
Fluids, MDPI, 2021, 6 (8), pp.296. ⟨10.3390/fluids6080296⟩
Fluids, Vol 6, Iss 296, p 296 (2021)
Volume 6
Issue 8
Fluids, MDPI, 2021, 6 (8), pp.296. ⟨10.3390/fluids6080296⟩
Fluids, Vol 6, Iss 296, p 296 (2021)
Volume 6
Issue 8
Geometrically parametrized partial differential equations are currently widely used in many different fields, such as shape optimization processes or patient-specific surgery studies. The focus of this work is some advances on this topic, capable of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ef40624708f1dc9fc6b85c8019f391
https://hal.inria.fr/hal-03436616
https://hal.inria.fr/hal-03436616
Publikováno v:
Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal
Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 2021, 19 (1), pp.267-293. ⟨10.1137/19M1285330⟩
Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Society for Industrial and Applied Mathematics, 2021, 19 (1), pp.267-293. ⟨10.1137/19M1285330⟩
Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 2021, 19 (1), pp.267-293. ⟨10.1137/19M1285330⟩
Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Society for Industrial and Applied Mathematics, 2021, 19 (1), pp.267-293. ⟨10.1137/19M1285330⟩
In this work we focus on two different methods to deal with parametrized partial differential equations in an efficient and accurate way. Starting from high fidelity approximations built via the hierarchical model reduction discretization, we conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c22fdc53e1d69d0d21416a71d1499d98
https://hal.archives-ouvertes.fr/hal-03164597
https://hal.archives-ouvertes.fr/hal-03164597
Autor:
Federica Pederiva, Sergio Ghirardo, Egidio Barbi, Marco Pennesi, Matteo Zancanaro, Mario Diplomatico, Luca Basso
Publikováno v:
Archives of Clinical and Biomedical Research.
Reason to report: Hydronephrosis caused by congenital ureteropelvic obstruction is quite common affecting up to 0.2% of infants and a pyeloplasty is the way to correct. Ultrasound is the technique of choice to follow up this kind of patient, but no o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7e7e750b37519dbf43e7ab57aaec09c
https://doi.org/10.26502/acbr.50170079
https://doi.org/10.26502/acbr.50170079
In this work we present address the combination of the Hierarchical Model (Hi-Mod) reduction approach with projection-based reduced order methods, exploiting either on Greedy Reduced Basis (RB) or Proper Orthogonal Decomposition (POD), in a parametri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::111cf1768194e1aa206d9d98a895206b
https://doi.org/10.14293/p2199-8442.1.sop-math.jownzf.v1
https://doi.org/10.14293/p2199-8442.1.sop-math.jownzf.v1
Publikováno v:
International Journal for Numerical Methods in Engineering
In this work, we present an approach for the efficient treatment of parametrized geometries in the context of POD-Galerkin reduced order methods based on Finite Volume full order approximations. On the contrary to what is normally done in the framewo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::352f91fd12b510a81cb1e5e76db3bed5