Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Ohlberger, Mario
and
Rave, Stephan
2013.
Nonlinear reduced basis approximation of parameterized evolution equations via the method of freezing.
Comptes Rendus. Mathématique,
Vol. 351,
Issue. 23-24,
p.
901.
Janon, Alexandre
Klein, Thierry
Lagnoux, Agnès
Nodet, Maëlle
and
Prieur, Clémentine
2014.
Asymptotic normality and efficiency of two Sobol index estimators.
ESAIM: Probability and Statistics,
Vol. 18,
Issue. ,
p.
342.
Janon, Alexandre
Nodet, Maelle
Prieur, Christophe
and
Prieur, Clementine
2014.
Global sensitivity analysis for the boundary control of an open channel.
p.
589.
Luo, Zhendong
2015.
A POD-BASED REDUCED-ORDER STABILIZED CRANK–NICOLSON MFE FORMULATION FOR THE NON-STATIONARY PARABOLIZED NAVIER–STOKES EQUATIONS.
Mathematical Modelling and Analysis,
Vol. 20,
Issue. 3,
p.
346.
Tissot, J.-Y.
and
Prieur, C.
2015.
A randomized orthogonal array-based procedure for the estimation of first- and second-order Sobol' indices.
Journal of Statistical Computation and Simulation,
Vol. 85,
Issue. 7,
p.
1358.
Janon, Alexandre
Nodet, Maëlle
Prieur, Christophe
and
Prieur, Clémentine
2016.
Global sensitivity analysis for the boundary control of an open channel.
Mathematics of Control, Signals, and Systems,
Vol. 28,
Issue. 1,
Lamboni, Matieyendou
2018.
Global sensitivity analysis: a generalized, unbiased and optimal estimator of total-effect variance.
Statistical Papers,
Vol. 59,
Issue. 1,
p.
361.
Janon, Alexandre
Nodet, Maëlle
Prieur, Christophe
and
Prieur, Clémentine
2018.
Goal-oriented error estimation for parameter-dependent nonlinear problems.
ESAIM: Mathematical Modelling and Numerical Analysis,
Vol. 52,
Issue. 2,
p.
705.
2019.
Proper Orthogonal Decomposition Methods for Partial Differential Equations.
p.
57.
2019.
Proper Orthogonal Decomposition Methods for Partial Differential Equations.
p.
247.
Grunert, Dennis
Fehr, Jörg
and
Haasdonk, Bernard
2020.
Well‐scaled, a‐posteriori error estimation for model order reduction of large second‐order mechanical systems.
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik,
Vol. 100,
Issue. 8,
Abbasi, M.H.
Iapichino, L.
Besselink, B.
Schilders, W.H.A.
and
van de Wouw, N.
2020.
Error estimation in reduced basis method for systems with time-varying and nonlinear boundary conditions.
Computer Methods in Applied Mechanics and Engineering,
Vol. 360,
Issue. ,
p.
112688.
Black, Felix
Schulze, Philipp
and
Unger, Benjamin
2020.
Projection-based model reduction with dynamically transformed modes.
ESAIM: Mathematical Modelling and Numerical Analysis,
Vol. 54,
Issue. 6,
p.
2011.
Uy, Wayne Isaac Tan
and
Peherstorfer, Benjamin
2021.
Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations.
ESAIM: Mathematical Modelling and Numerical Analysis,
Vol. 55,
Issue. 3,
p.
735.