Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Yano, Masayuki
Penn, James D.
and
Patera, Anthony T.
2013.
A model-data weak formulation for simultaneous estimation of state and model bias.
Comptes Rendus. Mathématique,
Vol. 351,
Issue. 23-24,
p.
937.
Pacciarini, Paolo
and
Rozza, Gianluigi
2014.
Stabilized reduced basis method for parametrized advection–diffusion PDEs.
Computer Methods in Applied Mechanics and Engineering,
Vol. 274,
Issue. ,
p.
1.
Dahmen, Wolfgang
Huang, Chunyan
Kutyniok, Gitta
Lim, Wang-Q
Schwab, Christoph
and
Welper, Gerrit
2014.
Extraction of Quantifiable Information from Complex Systems.
Vol. 102,
Issue. ,
p.
25.
Elman, Howard C.
and
Forstall, Virginia
2015.
Preconditioning Techniques for Reduced Basis Methods for Parameterized Elliptic Partial Differential Equations.
SIAM Journal on Scientific Computing,
Vol. 37,
Issue. 5,
p.
S177.
Abdulle, Assyr
and
Budáč, Ondrej
2015.
A Petrov–Galerkin reduced basis approximation of the Stokes equation in parameterized geometries.
Comptes Rendus Mathematique,
Vol. 353,
Issue. 7,
p.
641.
Chen, Peng
and
Schwab, Christoph
2015.
Handbook of Uncertainty Quantification.
p.
1.
Giere, Swetlana
Iliescu, Traian
John, Volker
and
Wells, David
2015.
SUPG reduced order models for convection-dominated convection–diffusion–reaction equations.
Computer Methods in Applied Mechanics and Engineering,
Vol. 289,
Issue. ,
p.
454.
Dahmen, Wolfgang
2015.
Sampling Theory, a Renaissance.
p.
403.
Bishop, Steven S.
Isaacs, Jason C.
Baylog, John G.
and
Wettergren, Thomas A.
2016.
Risk-based scheduling of multiple search passes for UUVs.
Vol. 9823,
Issue. ,
p.
98231V.
Amsallem, David
and
Nordström, Jan
2016.
Energy Stable Model Reduction of Neurons by Nonnegative Discrete Empirical Interpolation.
SIAM Journal on Scientific Computing,
Vol. 38,
Issue. 2,
p.
B297.
Abdulle, Assyr
and
Budáč, Ondrej
2016.
A reduced basis finite element heterogeneous multiscale method for Stokes flow in porous media.
Computer Methods in Applied Mechanics and Engineering,
Vol. 307,
Issue. ,
p.
1.
Zahm, Olivier
and
Nouy, Anthony
2016.
Interpolation of Inverse Operators for Preconditioning Parameter-Dependent Equations.
SIAM Journal on Scientific Computing,
Vol. 38,
Issue. 2,
p.
A1044.
O’Connor, Robert
2016.
Lyapunov-Based Error Bounds for the Reduced-Basis Method.
IFAC-PapersOnLine,
Vol. 49,
Issue. 8,
p.
1.
Calo, Victor M.
Chung, Eric T.
Efendiev, Yalchin
and
Leung, Wing Tat
2016.
Multiscale stabilization for convection-dominated diffusion in heterogeneous media.
Computer Methods in Applied Mechanics and Engineering,
Vol. 304,
Issue. ,
p.
359.
Hesthaven, Jan S.
Rozza, Gianluigi
and
Stamm, Benjamin
2016.
Certified Reduced Basis Methods for Parametrized Partial Differential Equations.
p.
87.
Yano, Masayuki
2016.
A minimum-residual mixed reduced basis method: Exact residual certification and simultaneous finite-element reduced-basis refinement.
ESAIM: Mathematical Modelling and Numerical Analysis,
Vol. 50,
Issue. 1,
p.
163.
Ahmedov, Bahodir
Grepl, Martin A.
and
Herty, Michael
2016.
Certified reduced-order methods for optimal treatment planning.
Mathematical Models and Methods in Applied Sciences,
Vol. 26,
Issue. 04,
p.
699.
Demkowicz, Leszek
and
Gopalakrishnan, Jay
2017.
Encyclopedia of Computational Mechanics Second Edition.
p.
1.
Chen, Peng
and
Schwab, Christoph
2017.
Handbook of Uncertainty Quantification.
p.
937.
Buhr, Andreas
Engwer, Christian
Ohlberger, Mario
and
Rave, Stephan
2017.
Model Reduction of Parametrized Systems.
Vol. 17,
Issue. ,
p.
137.