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DOI: 10.1016/j.jcp.2015.04.030
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Parametric Reduced-Order Models for Probabilistic Analysis of Unsteady Aerodynamic Applications

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AIAA Journal 46 (10) 2520 (2008)
DOI: 10.2514/1.35850
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Progress in Aerospace Sciences 96 23 (2018)
DOI: 10.1016/j.paerosci.2017.11.003
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A two-step model order reduction method to simulate a compressible flow over an extended rough surface

G. Deolmi and S. Müller
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DOI: 10.1016/j.matcom.2018.02.008
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A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction

Sebastian Peitz and Michael Dellnitz
Mathematical and Computational Applications 23 (2) 30 (2018)
DOI: 10.3390/mca23020030
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REDUCED BASIS APPROXIMATION AND A POSTERIORI ERROR ESTIMATION FOR THE PARAMETRIZED UNSTEADY BOUSSINESQ EQUATIONS

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Mathematical Models and Methods in Applied Sciences 21 (07) 1415 (2011)
DOI: 10.1142/S0218202511005441
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CERTIFIED REDUCED BASIS METHODS FOR NONAFFINE LINEAR TIME-VARYING AND NONLINEAR PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS

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Mathematical Models and Methods in Applied Sciences 22 (03) 1150015 (2012)
DOI: 10.1142/S0218202511500151
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Computer Methods in Applied Mechanics and Engineering 370 113273 (2020)
DOI: 10.1016/j.cma.2020.113273
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Journal of Scientific Computing (2017)
DOI: 10.1007/s10915-017-0430-y
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A space-time hp-interpolation-based certified reduced basis method for Burgers' equation

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Mathematical Models and Methods in Applied Sciences 24 (09) 1903 (2014)
DOI: 10.1142/S0218202514500110
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A certified reduced basis method for parametrized elliptic optimal control problems

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DOI: 10.1051/cocv/2013069
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Computers & Chemical Engineering 96 237 (2017)
DOI: 10.1016/j.compchemeng.2016.09.017
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Claudio Paniconi and Mario Putti
Water Resources Research 51 (9) 7090 (2015)
DOI: 10.1002/2015WR017780
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Efficient model reduction of parametrized systems by matrix discrete empirical interpolation

Federico Negri, Andrea Manzoni and David Amsallem
Journal of Computational Physics 303 431 (2015)
DOI: 10.1016/j.jcp.2015.09.046
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Model reduction using L 1 -norm minimization as an application to nonlinear hyperbolic problems

R. Abgrall and R. Crisovan
International Journal for Numerical Methods in Fluids 87 (12) 628 (2018)
DOI: 10.1002/fld.4507
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Peng Chen and Alfio Quarteroni
Computer Methods in Applied Mechanics and Engineering 267 233 (2013)
DOI: 10.1016/j.cma.2013.08.016
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Projection-based reduced order models for a cut finite element method in parametrized domains

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DOI: 10.1016/j.camwa.2019.08.003
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Reduced-order modelling for linear heat conduction with parametrised moving heat sources

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GAMM-Mitteilungen 39 (2) 170 (2016)
DOI: 10.1002/gamm.201610011
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Computational and Applied Mathematics 39 (2) (2020)
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International Journal for Numerical Methods in Fluids 83 (2) 175 (2017)
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SIAM Review 57 (4) 483 (2015)
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Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation

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SIAM Journal on Scientific Computing 34 (2) A937 (2012)
DOI: 10.1137/10081157X
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SIAM Journal on Scientific Computing 34 (2) A1187 (2012)
DOI: 10.1137/110819950
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SIAM/ASA Journal on Uncertainty Quantification 4 (1) 1398 (2016)
DOI: 10.1137/16M1055736
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Bérengère Podvin
Physics of Fluids 21 (1) 015111 (2009)
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SIAM Journal on Numerical Analysis 50 (5) 2656 (2012)
DOI: 10.1137/110835372
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SIAM Journal on Scientific Computing 34 (4) A2118 (2012)
DOI: 10.1137/100816717
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Adaptive Hessian-Based Nonstationary Gaussian Process Response Surface Method for Probability Density Approximation with Application to Bayesian Solution of Large-Scale Inverse Problems

Tan Bui-Thanh, Omar Ghattas and David Higdon
SIAM Journal on Scientific Computing 34 (6) A2837 (2012)
DOI: 10.1137/110851419
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ESAIM: Control, Optimisation and Calculus of Variations 22 (3) 625 (2016)
DOI: 10.1051/cocv/2015019
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Lyapunov-Based Error Bounds for the Reduced-Basis Method

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IFAC-PapersOnLine 49 (8) 1 (2016)
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Reduced basis approximation and a posteriori error bounds for 4D-Var data assimilation

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DOI: 10.1007/s11081-018-9389-2
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The reduced-order hybrid Monte Carlo sampling smoother

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International Journal for Numerical Methods in Fluids 83 (1) 28 (2017)
DOI: 10.1002/fld.4255
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Lecture Notes in Computational Science and Engineering, Recent Advances in Computational Engineering 124 145 (2018)
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Adaptive non-intrusive reduced order modeling for compressible flows

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Journal of Computational Physics 397 108855 (2019)
DOI: 10.1016/j.jcp.2019.07.053
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L1-Based Reduced Over Collocation and Hyper Reduction for Steady State and Time-Dependent Nonlinear Equations

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Journal of Scientific Computing 87 (1) (2021)
DOI: 10.1007/s10915-021-01416-z
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Parametric domain decomposition for accurate reduced order models: Applications of MP-LROM methodology

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Journal of Computational and Applied Mathematics 340 629 (2018)
DOI: 10.1016/j.cam.2017.11.018
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Journal of Nuclear Engineering and Radiation Science 2 (2) 021019 (2016)
DOI: 10.1115/1.4031945
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SIAM Journal on Scientific Computing 42 (5) A3489 (2020)
DOI: 10.1137/19M1292448
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SEMA SIMAI Springer Series, Numerical Methods for PDEs 15 203 (2018)
DOI: 10.1007/978-3-319-94676-4_8
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DOI: 10.1002/nme.5942
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DOI: 10.1016/j.jcp.2020.109787
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DOI: 10.1115/1.4037098
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DOI: 10.1002/nme.6462
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DOI: 10.1016/j.cam.2013.11.025
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DOI: 10.1137/151004550
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SIAM Journal on Scientific Computing 39 (4) A1647 (2017)
DOI: 10.1137/16M106385X
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SIAM Journal on Scientific Computing 39 (4) A1766 (2017)
DOI: 10.1137/16M1071493
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SIAM Journal on Scientific Computing 39 (5) S434 (2017)
DOI: 10.1137/16M1081981
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DOI: 10.1016/j.jcp.2019.108912
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Computers & Fluids 173 273 (2018)
DOI: 10.1016/j.compfluid.2018.01.035
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Reduced basis approximation anda posteriori error estimation for stress intensity factors

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DOI: 10.1002/nme.2090
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International Journal for Numerical Methods in Engineering 73 (6) 844 (2008)
DOI: 10.1002/nme.2100
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Limited-memory adaptive snapshot selection for proper orthogonal decomposition

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DOI: 10.1002/nme.5283
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DOI: 10.1016/j.cma.2019.01.024
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An efficient reduced-order modeling approach for non-linear parametrized partial differential equations

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DOI: 10.1002/nme.2309
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DOI: 10.1016/j.ymssp.2019.01.018
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DOI: 10.1007/BF03024948
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DOI: 10.1002/fld.2089
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DOI: 10.1016/j.advwatres.2015.09.029
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DOI: 10.1002/gamm.201010015
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DOI: 10.3390/mca24010020
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Handbook of Materials Modeling 1529 (2005)
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DOI: 10.1007/s41980-019-00210-w
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DOI: 10.1108/COMPEL-04-2013-0115
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DOI: 10.1007/978-3-642-15337-2_15
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DOI: 10.1007/978-3-642-31703-3_11
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DOI: 10.1177/1461348419851595
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Numerical Simulation-based Design 89 (2020)
DOI: 10.1007/978-981-10-3090-1_5
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Computer Physics Communications 249 107013 (2020)
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DOI: 10.1002/nme.6324
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ESAIM: Control, Optimisation and Calculus of Variations 24 (1) 129 (2018)
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A posteriori global error estimator based on the error in the constitutive relation for reduced basis approximation of parametrized linear elastic problems

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Applied Mathematical Modelling 40 (7-8) 4271 (2016)
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DOI: 10.1007/s10915-019-00976-5
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DOI: 10.1002/nme.6365
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DOI: 10.1007/s10915-017-0551-3
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Adaptive POD–DEIM basis construction and its application to a nonlinear population balance system

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AIChE Journal 63 (9) 3832 (2017)
DOI: 10.1002/aic.15749
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DOI: 10.1186/s40323-020-00168-z
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Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

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Journal of the Royal Society of New Zealand 1 (2021)
DOI: 10.1080/03036758.2020.1863237
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