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Deparis, S
116  Ergebnisse:
Personensuche X
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1

Multi space reduced basis preconditioners for parametrized ..:

Dal Santo, N. ; Deparis, S. ; Manzoni, A..
Computers & Mathematics with Applications.  77 (2019)  6 - p. 1583-1604 , 2019
Link: https://doi.org/10.1016/..
 
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2

An algebraic least squares reduced basis method for the sol..:

Dal Santo, N. ; Deparis, S. ; Manzoni, A..
Computer Methods in Applied Mechanics and Engineering.  344 (2019)  - p. 186-208 , 2019
Link: https://doi.org/10.1016/..
 
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3

Multiphysics Computational Modeling in $\boldsymbol{\mathca..:

Lee, J. ; Cookson, A. ; Roy, I....
SIAM Journal on Scientific Computing.  38 (2016)  3 - p. C150-C178 , 2016
Link: https://doi.org/10.1137/..
 
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4

A Comparison of Preconditioners for the Steklov–Poincaré Fo..:

Deparis, S. ; Forti, D. ; Heinlein, A....
PAMM.  15 (2015)  1 - p. 93-94 , 2015
Link: https://doi.org/10.1002/..
 
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5

Comparisons between reduced order models and full 3D models..:

Colciago, C.M. ; Deparis, S. ; Quarteroni, A.
Journal of Computational and Applied Mathematics.  265 (2014)  - p. 120-138 , 2014
Link: https://doi.org/10.1016/..
 
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6

An Efficient Discretization of the Navier–Stokes Equations ..:

Belhachmi, Z. ; Bernardi, C. ; Deparis, S..
Journal of Scientific Computing.  27 (2006)  1-3 - p. 97-110 , 2006
Link: https://doi.org/10.1007/..
 
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7

"Natural norm" a posteriori error estimators for reduced ba..:

Sen, S. ; Veroy, K. ; Huynh, D.B.P....
Journal of Computational Physics.  217 (2006)  1 - p. 37-62 , 2006
Link: https://doi.org/10.1016/..
 
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8

Acceleration of a fixed point algorithm for fluid-structure..:

, In: Computational Fluid and Solid Mechanics 2003,
Deparis, S. ; Fernández, M.A. ; Formaggia, L.. - p. 1307-1311 , 2003
Link: https://doi.org/10.1016/..
 
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9

Acceleration of a fixed point algorithm for fluid-structure..:

, In: Computational Fluid and Solid Mechanics 2003,
DEPARIS, S ; FERNANDEZ, M ; FORMAGGIA, L. - p. 1307-1311 , 2003
Link: https://doi.org/10.1016/..
 
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10

Conservation of Forces and Total Work at the Interface Usin..:

Deparis, S ; Gervasio, P
info:eu-repo/semantics/altIdentifier/wos/WOS:000793006400001.  , 2022
Link: http://hdl.handle.net/11..
 
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11

The INTERNODES method for applications in contact mechanics..:

Voet Y ; Anciaux G ; Deparis S.
info:eu-repo/semantics/altIdentifier/wos/WOS:000875980200004.  , 2022
Link: http://hdl.handle.net/11..
 
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12

Deep Neural Network to Accurately Predict Left Ventricular ..:

Bonnemain, J ; Zeller, M ; Pegolotti, L..
info:eu-repo/semantics/altIdentifier/doi/10.3389/fcvm.2021.752088.  , 2021
Link: https://serval.unil.ch/n..
 
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13

Implementation and Calibration of a Deep Neural Network to ..:

Bonnemain, J ; Pegolotti, L ; Deparis, S
info:eu-repo/semantics/altIdentifier/doi/10.3389/fphys.2020.01086.  , 2020
Link: https://serval.unil.ch/n..
 
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14

Multiphysics computational modeling in C Heart:

Lee, J ; Cookson, A ; Roy, I...
Lee , J , Cookson , A , Roy , I , Kerfoot , E , Asner , L , Vigueras , G , Sochi , T , Deparis , S , Michler , C , Smith , N P & Nordsletten , D A 2016 , ' Multiphysics computational modeling in C Heart ' , SIAM Journal on Scientific Computing , vol. 38 , no. 3 , pp. C150-C178 . https://doi.org/10.1137/15M1014097.  , 2016
Link: https://researchportal.b..
 
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15

A Rescaled Localized Radial Basis Function Interpolation on..:

S. Deparis ; D. Forti ; QUARTERONI, ALFIO MARIA
info:eu-repo/semantics/altIdentifier/wos/WOS:000346838800011.  , 2014
Link: http://hdl.handle.net/11..
 
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