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DOI: 10.1016/j.paerosci.2017.11.003
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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

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Mathematical and Computational Applications 23 (2) 30 (2018)
DOI: 10.3390/mca23020030
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DOI: 10.1142/S0218202511005441
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DOI: 10.1090/S0025-5718-2013-02782-2
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Mathematical Models and Methods in Applied Sciences 22 (03) 1150015 (2012)
DOI: 10.1142/S0218202511500151
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DOI: 10.1007/s10915-017-0430-y
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Mathematical Models and Methods in Applied Sciences 24 (09) 1903 (2014)
DOI: 10.1142/S0218202514500110
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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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DOI: 10.1017/S0962492921000064
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Model reduction using L 1 -norm minimization as an application to nonlinear hyperbolic problems

R. Abgrall and R. Crisovan
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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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Computers & Mathematics with Applications 79 (3) 833 (2020)
DOI: 10.1016/j.camwa.2019.08.003
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Reduced-order modelling for linear heat conduction with parametrised moving heat sources

Benjamin Brands, Julia Mergheim and Paul Steinmann
GAMM-Mitteilungen 39 (2) 170 (2016)
DOI: 10.1002/gamm.201610011
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Răzvan Ştefănescu and Adrian Sandu
International Journal for Numerical Methods in Fluids 83 (2) 175 (2017)
DOI: 10.1002/fld.4260
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SIAM Review 57 (4) 483 (2015)
DOI: 10.1137/130932715
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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)
DOI: 10.1063/1.3068759
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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

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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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DOI: 10.1016/j.ifacol.2016.07.409
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Reduced basis approximation and a posteriori error bounds for 4D-Var data assimilation

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Optimization and Engineering 19 (3) 663 (2018)
DOI: 10.1007/s11081-018-9389-2
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Christopher Spannring, Sebastian Ullmann and Jens Lang
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DOI: 10.1007/978-3-319-93891-2_9
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DOI: 10.1016/j.camwa.2021.07.016
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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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Parameter estimation with model order reduction for elliptic differential equations

Axel Ariaan Lukassen and Martin Kiehl
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DOI: 10.1080/17415977.2017.1318873
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Rapid identification of material properties of the interface tissue in dental implant systems using reduced basis method

K.C. Hoang, B.C. Khoo, G.R. Liu, N.C. Nguyen and A.T. Patera
Inverse Problems in Science and Engineering 21 (8) 1310 (2013)
DOI: 10.1080/17415977.2012.757315
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DOI: 10.1115/1.4031945
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DOI: 10.1137/19M1292448
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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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DOI: 10.1137/16M106385X
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DOI: 10.1137/16M1071493
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DOI: 10.1137/16M1081981
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Journal of Computational Physics 399 108912 (2019)
DOI: 10.1016/j.jcp.2019.108912
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Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier–Stokes equations

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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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DOI: 10.1002/nme.2100
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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/s11831-008-9019-9
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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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DOI: 10.1016/j.cma.2020.113273
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Handbook of Materials Modeling 1529 (2005)
DOI: 10.1007/978-1-4020-3286-8_76
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DOI: 10.1016/j.jcp.2016.08.025
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DOI: 10.1002/fld.1053
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DOI: 10.1007/s41980-019-00210-w
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Petar Mlinarić, Stephan Rave and Jens Saak
171 357 (2021)
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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: 10.1007/978-3-0348-0133-1_5
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DOI: 10.1007/978-3-642-31703-3_11
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DOI: 10.1016/j.jcp.2015.05.041
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DOI: 10.1177/1461348419851595
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DOI: 10.1016/j.cma.2017.08.047
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DOI: 10.1016/j.finel.2021.103530
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Xu Han and Jie Liu
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DOI: 10.1007/s10596-019-09916-6
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DOI: 10.1137/20M1371798
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DOI: 10.1016/j.cpc.2019.107013
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DOI: 10.1002/nme.6324
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DOI: 10.1051/cocv/2017011
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DOI: 10.1016/j.apm.2015.11.016
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DOI: 10.1007/s10915-021-01623-8
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DOI: 10.1016/j.jcp.2021.110545
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DOI: 10.1007/s10444-019-09701-0
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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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DOI: 10.1016/j.cma.2020.112990
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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: 10.1016/j.ifacol.2015.05.016
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DOI: 10.1186/s40323-020-00168-z
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DOI: 10.1080/03036758.2020.1863237
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DOI: 10.1137/20M1323552
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DOI: 10.1016/j.jcp.2015.09.046
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Computer Methods in Applied Mechanics and Engineering 347 568 (2019)
DOI: 10.1016/j.cma.2018.12.040
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DOI: 10.1016/j.cam.2017.11.018
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DOI: 10.1051/m2an/2021010
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DOI: 10.1155/2021/6631180
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DOI: 10.1177/0954406212456794
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DOI: 10.1177/0954406212470895
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DOI: 10.1186/s13362-021-00105-8
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