EDP Sciences logo
Subscriber Authentication Point
Sciengine logo
Search
Menu
All issues ESAIM: M2AN, 41 3 (2007) 575-605 Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier–Stokes problems

Efthymios N. Karatzas, Monica Nonino, Francesco Ballarin and Gianluigi Rozza
Computers & Mathematics with Applications 116 140 (2022)
https://doi.org/10.1016/j.camwa.2021.07.016

Generalized Empirical Interpolation Method With H1 Regularization: Application to Nuclear Reactor Physics

Helin Gong, Zhang Chen and Qing Li
Frontiers in Energy Research 9 (2022)
https://doi.org/10.3389/fenrg.2021.804018

Model reduction methods for nuclear emulators

J A Melendez, C Drischler, R J Furnstahl, A J Garcia and Xilin Zhang
Journal of Physics G: Nuclear and Particle Physics 49 (10) 102001 (2022)
https://doi.org/10.1088/1361-6471/ac83dd

Large-Eddy Simulation of Transonic Buffet Using Matrix-Free Discontinuous Galerkin Method

Ngoc Cuong Nguyen, Sebastien Terrana and Jaime Peraire
AIAA Journal 60 (5) 3060 (2022)
https://doi.org/10.2514/1.J060459

Model order reduction for structural nonlinear dynamic analysis based on Isogeometric analysis

Wei Li, Zhaolin Chen and Yujie Guo
Journal of Physics: Conference Series 2235 (1) 012073 (2022)
https://doi.org/10.1088/1742-6596/2235/1/012073

A ROM-accelerated parallel-in-time preconditioner for solving all-at-once systems in unsteady convection-diffusion PDEs

Jun Liu and Zhu Wang
Applied Mathematics and Computation 416 126750 (2022)
https://doi.org/10.1016/j.amc.2021.126750

Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics

Ludovica Cicci, Stefania Fresca, Stefano Pagani, Andrea Manzoni and Alfio Quarteroni
Mathematics in Engineering 5 (2) 1 (2022)
https://doi.org/10.3934/mine.2023026

Fast $L^2$ Optimal Mass Transport via Reduced Basis Methods for the Monge--Ampère Equation

Shijin Hou, Yanlai Chen and Yinhua Xia
SIAM Journal on Scientific Computing 44 (6) A3536 (2022)
https://doi.org/10.1137/21M1463720

Nonintrusive Reduced Order Modelling of Convective Boussinesq Flows

Pedram H. Dabaghian, Shady E. Ahmed and Omer San
International Journal of Computational Fluid Dynamics 36 (7) 578 (2022)
https://doi.org/10.1080/10618562.2022.2152014

Model order reduction for bifurcating phenomena in fluid‐structure interaction problems

Moaad Khamlich, Federico Pichi and Gianluigi Rozza
International Journal for Numerical Methods in Fluids 94 (10) 1611 (2022)
https://doi.org/10.1002/fld.5118

Projection-tree reduced-order modeling for fast N-body computations

Steven N. Rodriguez, Athanasios P. Iliopoulos, Kevin T. Carlberg, Steven L. Brunton, John C. Steuben and John G. Michopoulos
Journal of Computational Physics 459 111141 (2022)
https://doi.org/10.1016/j.jcp.2022.111141

Comparing Different Stabilization Strategies for Reduced Order Modeling of Viscoelastic Fluid Flow Problems

Manisha Chetry, Domenico Borzacchiello, Gaetano D’Avino and Luisa Rocha Da Silva
SSRN Electronic Journal (2022)
https://doi.org/10.2139/ssrn.4162426

A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems

Daheng Cai, Chengbin Yao and Qifeng Liao
Symmetry 14 (3) 556 (2022)
https://doi.org/10.3390/sym14030556

Projection-based model reduction of dynamical systems using space–time subspace and machine learning

Chi Hoang, Kenny Chowdhary, Kookjin Lee and Jaideep Ray
Computer Methods in Applied Mechanics and Engineering 389 114341 (2022)
https://doi.org/10.1016/j.cma.2021.114341

Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs

Ludovica Cicci, Stefania Fresca and Andrea Manzoni
Journal of Scientific Computing 93 (2) (2022)
https://doi.org/10.1007/s10915-022-02001-8

Reduced Operator Inference for Nonlinear Partial Differential Equations

Elizabeth Qian, Ionuţ-Gabriel Farcaş and Karen Willcox
SIAM Journal on Scientific Computing 44 (4) A1934 (2022)
https://doi.org/10.1137/21M1393972

Model Order Reduction via Moment-Matching: A State of the Art Review

Danish Rafiq and Mohammad Abid Bazaz
Archives of Computational Methods in Engineering 29 (3) 1463 (2022)
https://doi.org/10.1007/s11831-021-09618-2

A Theoretical Analysis of Deep Neural Networks and Parametric PDEs

Gitta Kutyniok, Philipp Petersen, Mones Raslan and Reinhold Schneider
Constructive Approximation 55 (1) 73 (2022)
https://doi.org/10.1007/s00365-021-09551-4

Interpolatory tensorial reduced order models for parametric dynamical systems

Alexander V. Mamonov and Maxim A. Olshanskii
Computer Methods in Applied Mechanics and Engineering 397 115122 (2022)
https://doi.org/10.1016/j.cma.2022.115122

A space-time certified reduced basis method for quasilinear parabolic partial differential equations

Michael Hinze and Denis Korolev
Advances in Computational Mathematics 47 (3) (2021)
https://doi.org/10.1007/s10444-021-09860-z

Optimal and fast field reconstruction with reduced basis and limited observations: Application to reactor core online monitoring

Helin Gong, Zhang Chen, Yvon Maday and Qing Li
Nuclear Engineering and Design 377 111113 (2021)
https://doi.org/10.1016/j.nucengdes.2021.111113

An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation

Yanlai Chen, Sigal Gottlieb, Lijie Ji and Yvon Maday
Journal of Computational Physics 444 110545 (2021)
https://doi.org/10.1016/j.jcp.2021.110545

A discretize-then-map approach for the treatment of parameterized geometries in model order reduction

Tommaso Taddei and Lei Zhang
Computer Methods in Applied Mechanics and Engineering 384 113956 (2021)
https://doi.org/10.1016/j.cma.2021.113956

Model Reduction of Complex Dynamical Systems

Michael Hinze and Denis Korolev
International Series of Numerical Mathematics, Model Reduction of Complex Dynamical Systems 171 307 (2021)
https://doi.org/10.1007/978-3-030-72983-7_14

On closures for reduced order models—A spectrum of first-principle to machine-learned avenues

Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, Traian Iliescu and Bernd R. Noack
Physics of Fluids 33 (9) (2021)
https://doi.org/10.1063/5.0061577

L1-Based Reduced Over Collocation and Hyper Reduction for Steady State and Time-Dependent Nonlinear Equations

Yanlai Chen, Lijie Ji, Akil Narayan and Zhenli Xu
Journal of Scientific Computing 87 (1) (2021)
https://doi.org/10.1007/s10915-021-01416-z

Mesh sampling and weighting for the hyperreduction of nonlinear Petrov–Galerkin reduced‐order models with local reduced‐order bases

Sebastian Grimberg, Charbel Farhat, Radek Tezaur and Charbel Bou‐Mosleh
International Journal for Numerical Methods in Engineering 122 (7) 1846 (2021)
https://doi.org/10.1002/nme.6603

Development of a coupling between a system thermal–hydraulic code and a reduced order CFD model

S. Kelbij Star, Giuseppe Spina, Francesco Belloni and Joris Degroote
Annals of Nuclear Energy 153 108056 (2021)
https://doi.org/10.1016/j.anucene.2020.108056

Real-time, high-fidelity linear elastostatic beam models for engineering education

Shinseong Kang and Kyunghoon Lee
Journal of Mechanical Science and Technology 35 (8) 3483 (2021)
https://doi.org/10.1007/s12206-021-0721-y

A two-level parameterized Model-Order Reduction approach for time-domain elastodynamics

Mohamed Aziz Bhouri and Anthony T. Patera
Computer Methods in Applied Mechanics and Engineering 385 114004 (2021)
https://doi.org/10.1016/j.cma.2021.114004

A Reduced Order Model for a Stable Embedded Boundary Parametrized Cahn–Hilliard Phase-Field System Based on Cut Finite Elements

Efthymios N. Karatzas and Gianluigi Rozza
Journal of Scientific Computing 89 (1) (2021)
https://doi.org/10.1007/s10915-021-01623-8

Domain-decomposition least-squares Petrov–Galerkin (DD-LSPG) nonlinear model reduction

Chi Hoang, Youngsoo Choi and Kevin Carlberg
Computer Methods in Applied Mechanics and Engineering 384 113997 (2021)
https://doi.org/10.1016/j.cma.2021.113997

A Hyper-Reduced MAC Scheme for the Parametric Stokes and Navier-Stokes Equations

Yanlai Chen, Lijie Ji and Zhu Wang
SSRN Electronic Journal (2021)
https://doi.org/10.2139/ssrn.3969807

A nonparametric probabilistic method to enhance PGD solutions with data-driven approach, application to the automated tape placement process

Chady Ghnatios and Anais Barasinski
Advanced Modeling and Simulation in Engineering Sciences 8 (1) (2021)
https://doi.org/10.1186/s40323-021-00205-5

ROM-Based Inexact Subdivision Methods for PDE-Constrained Multiobjective Optimization

Stefan Banholzer, Bennet Gebken, Lena Reichle and Stefan Volkwein
Mathematical and Computational Applications 26 (2) 32 (2021)
https://doi.org/10.3390/mca26020032

A hyper-reduction method using adaptivity to cut the assembly costs of reduced order models

Jack S. Hale, Elisa Schenone, Davide Baroli, Lars A.A. Beex and Stéphane P.A. Bordas
Computer Methods in Applied Mechanics and Engineering 380 113723 (2021)
https://doi.org/10.1016/j.cma.2021.113723

A Low-Rank Approximated Multiscale Method for Pdes With Random Coefficients

Na Ou, Guang Lin and Lijian Jiang
Multiscale Modeling & Simulation 18 (4) 1595 (2020)
https://doi.org/10.1137/19M1288565

Advances in Dynamics, Optimization and Computation

Christian Jäkle and Stefan Volkwein
Studies in Systems, Decision and Control, Advances in Dynamics, Optimization and Computation 304 238 (2020)
https://doi.org/10.1007/978-3-030-51264-4_10

A hybrid model reduction method for stochastic parabolic optimal control problems

Lijian Jiang and Lingling Ma
Computer Methods in Applied Mechanics and Engineering 370 113244 (2020)
https://doi.org/10.1016/j.cma.2020.113244

Projection-based reduced order models for a cut finite element method in parametrized domains

Efthymios N. Karatzas, Francesco Ballarin and Gianluigi Rozza
Computers & Mathematics with Applications 79 (3) 833 (2020)
https://doi.org/10.1016/j.camwa.2019.08.003

Fast solution of the linearized Poisson–Boltzmann equation with nonaffine parametrized boundary conditions using the reduced basis method

Cleophas Kweyu, Lihong Feng, Matthias Stein and Peter Benner
Computing and Visualization in Science 23 (1-4) (2020)
https://doi.org/10.1007/s00791-020-00336-z

A reduced-order shifted boundary method for parametrized incompressible Navier–Stokes equations

Efthymios N. Karatzas, Giovanni Stabile, Leo Nouveau, Guglielmo Scovazzi and Gianluigi Rozza
Computer Methods in Applied Mechanics and Engineering 370 113273 (2020)
https://doi.org/10.1016/j.cma.2020.113273

A Bayesian Numerical Homogenization Method for Elliptic Multiscale Inverse Problems

Assyr Abdulle and Andrea Di Blasio
SIAM/ASA Journal on Uncertainty Quantification 8 (1) 414 (2020)
https://doi.org/10.1137/18M1187891

Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM

Vasileios Tsiolakis, Matteo Giacomini, Ruben Sevilla, Carsten Othmer and Antonio Huerta
Computer Physics Communications 249 107013 (2020)
https://doi.org/10.1016/j.cpc.2019.107013

Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset

Christian Soize, Roger G. Ghanem and Christophe Desceliers
Statistics and Computing 30 (5) 1433 (2020)
https://doi.org/10.1007/s11222-020-09954-6

Interpolatory Rational Model Order Reduction of Parametric Problems Lacking Uniform Inf-Sup Stability

Davide Pradovera
SIAM Journal on Numerical Analysis 58 (4) 2265 (2020)
https://doi.org/10.1137/19M1269695

Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height

Francesco Ballarin, Tomás Chacón Rebollo, Enrique Delgado Ávila, Macarena Gómez Mármol and Gianluigi Rozza
Computers & Mathematics with Applications 80 (5) 973 (2020)
https://doi.org/10.1016/j.camwa.2020.05.013

Adaptive greedy algorithms based on parameter‐domain decomposition and reconstruction for the reduced basis method

Jiahua Jiang and Yanlai Chen
International Journal for Numerical Methods in Engineering 121 (23) 5426 (2020)
https://doi.org/10.1002/nme.6544

Stability of Discrete Empirical Interpolation and Gappy Proper Orthogonal Decomposition with Randomized and Deterministic Sampling Points

Benjamin Peherstorfer, Zlatko Drmač and Serkan Gugercin
SIAM Journal on Scientific Computing 42 (5) A2837 (2020)
https://doi.org/10.1137/19M1307391

Learning Physics-Based Reduced-Order Models for a Single-Injector Combustion Process

Renee Swischuk, Boris Kramer, Cheng Huang and Karen Willcox
AIAA Journal 58 (6) 2658 (2020)
https://doi.org/10.2514/1.J058943

Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces

Virginie Ehrlacher, Damiano Lombardi, Olga Mula and François-Xavier Vialard
ESAIM: Mathematical Modelling and Numerical Analysis 54 (6) 2159 (2020)
https://doi.org/10.1051/m2an/2020013

Model Reduction for Transport-Dominated Problems via Online Adaptive Bases and Adaptive Sampling

Benjamin Peherstorfer
SIAM Journal on Scientific Computing 42 (5) A2803 (2020)
https://doi.org/10.1137/19M1257275

Efficient geometrical parametrization for finite‐volume‐based reduced order methods

Giovanni Stabile, Matteo Zancanaro and Gianluigi Rozza
International Journal for Numerical Methods in Engineering 121 (12) 2655 (2020)
https://doi.org/10.1002/nme.6324

Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms

Peter Benner, Pawan Goyal, Boris Kramer, Benjamin Peherstorfer and Karen Willcox
Computer Methods in Applied Mechanics and Engineering 372 113433 (2020)
https://doi.org/10.1016/j.cma.2020.113433

Adaptive basis construction and improved error estimation for parametric nonlinear dynamical systems

Sridhar Chellappa, Lihong Feng and Peter Benner
International Journal for Numerical Methods in Engineering 121 (23) 5320 (2020)
https://doi.org/10.1002/nme.6462

IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22–25, 2018

Efthymios N. Karatzas, Giovanni Stabile, Nabil Atallah, Guglielmo Scovazzi and Gianluigi Rozza
IUTAM Bookseries, IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22–25, 2018 36 111 (2020)
https://doi.org/10.1007/978-3-030-21013-7_8

SNS: A Solution-Based Nonlinear Subspace Method for Time-Dependent Model Order Reduction

Youngsoo Choi, Deshawn Coombs and Robert Anderson
SIAM Journal on Scientific Computing 42 (2) A1116 (2020)
https://doi.org/10.1137/19M1242963

Optimizing Source and Sensor Placement for Sound Field Control: An Overview

Shoichi Koyama, Gilles Chardon and Laurent Daudet
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28 696 (2020)
https://doi.org/10.1109/TASLP.2020.2964958

Primal-Dual Reduced Basis Methods for Convex Minimization Variational Problems: Robust True Solution a Posteriori Error Certification and Adaptive Greedy Algorithms

Shun Zhang
SIAM Journal on Scientific Computing 42 (6) A3638 (2020)
https://doi.org/10.1137/19M1281551

Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling

Sebastian Peitz, Sina Ober-Blöbaum and Michael Dellnitz
Acta Applicandae Mathematicae 161 (1) 171 (2019)
https://doi.org/10.1007/s10440-018-0209-7

An LP empirical quadrature procedure for reduced basis treatment of parametrized nonlinear PDEs

Masayuki Yano and Anthony T. Patera
Computer Methods in Applied Mechanics and Engineering 344 1104 (2019)
https://doi.org/10.1016/j.cma.2018.02.028

3D-VAR for parameterized partial differential equations: a certified reduced basis approach

Nicole Aretz-Nellesen, Martin A. Grepl and Karen Veroy
Advances in Computational Mathematics 45 (5-6) 2369 (2019)
https://doi.org/10.1007/s10444-019-09713-w

Reduced Basis Methods for Fractional Laplace Equations via Extension

Harbir Antil, Yanlai Chen and Akil Narayan
SIAM Journal on Scientific Computing 41 (6) A3552 (2019)
https://doi.org/10.1137/18M1204802

A reduced basis approach for PDEs on parametrized geometries based on the shifted boundary finite element method and application to a Stokes flow

Efthymios N. Karatzas, Giovanni Stabile, Leo Nouveau, Guglielmo Scovazzi and Gianluigi Rozza
Computer Methods in Applied Mechanics and Engineering 347 568 (2019)
https://doi.org/10.1016/j.cma.2018.12.040

Reduced Basis Approaches for Parametrized Bifurcation Problems held by Non-linear Von Kármán Equations

Federico Pichi and Gianluigi Rozza
Journal of Scientific Computing 81 (1) 112 (2019)
https://doi.org/10.1007/s10915-019-01003-3

Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media

Constantin Grigo and Phaedon-Stelios Koutsourelakis
SIAM/ASA Journal on Uncertainty Quantification 7 (1) 292 (2019)
https://doi.org/10.1137/17M1155867

Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow

Eivind Fonn, Harald van Brummelen, Trond Kvamsdal and Adil Rasheed
Computer Methods in Applied Mechanics and Engineering 346 486 (2019)
https://doi.org/10.1016/j.cma.2018.11.038

Reduced Collocation Method for Time-Dependent Parametrized Partial Differential Equations

Rezvan Ghaffari and Farideh Ghoreishi
Bulletin of the Iranian Mathematical Society 45 (5) 1487 (2019)
https://doi.org/10.1007/s41980-019-00210-w

Non-intrusive reduced-order modeling for fluid problems: A brief review

Jian Yu, Chao Yan and Mengwu Guo
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233 (16) 5896 (2019)
https://doi.org/10.1177/0954410019890721

Non-intrusive Sparse Subspace Learning for Parametrized Problems

Domenico Borzacchiello, José V. Aguado and Francisco Chinesta
Archives of Computational Methods in Engineering 26 (2) 303 (2019)
https://doi.org/10.1007/s11831-017-9241-4

An offline/online procedure for dual norm calculations of parameterized functionals: empirical quadrature and empirical test spaces

Tommaso Taddei
Advances in Computational Mathematics 45 (5-6) 2429 (2019)
https://doi.org/10.1007/s10444-019-09721-w

A Multiscale Neural Network Based on Hierarchical Matrices

Yuwei Fan, Lin Lin, Lexing Ying and Leonardo Zepeda-Nún͂ez
Multiscale Modeling & Simulation 17 (4) 1189 (2019)
https://doi.org/10.1137/18M1203602

Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification

R. Crisovan, D. Torlo, R. Abgrall and S. Tokareva
Journal of Computational and Applied Mathematics 348 466 (2019)
https://doi.org/10.1016/j.cam.2018.09.018

MLACE-MLFMA Combined With Reduced Basis Method for Efficient Wideband Electromagnetic Scattering From Metallic Targets

Lifeng Wu, Yanwen Zhao, Qiangming Cai, et al.
IEEE Transactions on Antennas and Propagation 67 (7) 4738 (2019)
https://doi.org/10.1109/TAP.2019.2911352

Reduced basis method for the adapted mesh and Monte Carlo methods applied to an elliptic stochastic problem

Noura Morcos and Toni Sayah
Computational and Applied Mathematics 38 (2) (2019)
https://doi.org/10.1007/s40314-019-0859-8

Dealing with a nonlinear material behavior and its variability through PGD models: Application to reinforced concrete structures

M. Vitse, D. Néron and P.-A. Boucard
Finite Elements in Analysis and Design 153 22 (2019)
https://doi.org/10.1016/j.finel.2018.05.006

Discontinuous Galerkin reduced basis empirical quadrature procedure for model reduction of parametrized nonlinear conservation laws

Masayuki Yano
Advances in Computational Mathematics 45 (5-6) 2287 (2019)
https://doi.org/10.1007/s10444-019-09710-z

A non-intrusive reduced basis approach for parametrized heat transfer problems

R. Chakir, Y. Maday and P. Parnaudeau
Journal of Computational Physics 376 617 (2019)
https://doi.org/10.1016/j.jcp.2018.10.001

A new bi‐fidelity model reduction method for Bayesian inverse problems

Na Ou, Lijian Jiang and Guang Lin
International Journal for Numerical Methods in Engineering 119 (10) 941 (2019)
https://doi.org/10.1002/nme.6079

Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition

Boris Kramer and Karen E. Willcox
AIAA Journal 57 (6) 2297 (2019)
https://doi.org/10.2514/1.J057791

Numerical Homogenization and Model Order Reduction for Multiscale Inverse Problems

Assyr Abdulle and Andrea Di Blasio
Multiscale Modeling & Simulation 17 (1) 399 (2019)
https://doi.org/10.1137/16M1091320

Reduced-Order Modelling and Homogenisation in Magneto-Mechanics: A Numerical Comparison of Established Hyper-Reduction Methods

Benjamin Brands, Denis Davydov, Julia Mergheim and Paul Steinmann
Mathematical and Computational Applications 24 (1) 20 (2019)
https://doi.org/10.3390/mca24010020

A component-based hybrid reduced basis/finite element method for solid mechanics with local nonlinearities

J. Ballani, D.B.P. Huynh, D.J. Knezevic, L. Nguyen and A.T. Patera
Computer Methods in Applied Mechanics and Engineering 329 498 (2018)
https://doi.org/10.1016/j.cma.2017.09.014

Modeling and Quantification of Model-Form Uncertainties in Eigenvalue Computations Using a Stochastic Reduced Model

Charbel Farhat, Adrien Bos, Philip Avery and Christian Soize
AIAA Journal 56 (3) 1198 (2018)
https://doi.org/10.2514/1.J056314

Multi-fidelity aerodynamic design trade-off exploration using point-by-point Pareto set identification

Anand Amrit, Leifur Leifsson and Slawomir Koziel
Aerospace Science and Technology 79 399 (2018)
https://doi.org/10.1016/j.ast.2018.05.023

A LATIN-based model reduction approach for the simulation of cycling damage

Mainak Bhattacharyya, Amelie Fau, Udo Nackenhorst, David Néron and Pierre Ladevèze
Computational Mechanics 62 (4) 725 (2018)
https://doi.org/10.1007/s00466-017-1523-z

The Discrete Empirical Interpolation Method: Canonical Structure and Formulation in Weighted Inner Product Spaces

Zlatko Drmač and Arvind Krishna Saibaba
SIAM Journal on Matrix Analysis and Applications 39 (3) 1152 (2018)
https://doi.org/10.1137/17M1129635

Reduced basis approximation and a posteriori error bounds for 4D-Var data assimilation

Mark Kärcher, Sébastien Boyaval, Martin A. Grepl and Karen Veroy
Optimization and Engineering 19 (3) 663 (2018)
https://doi.org/10.1007/s11081-018-9389-2

Fast and accurate two-field reduced basis approximation for parametrized thermoelasticity problems

Khac Chi Hoang, Tae-Yeon Kim and Jeong-Hoon Song
Finite Elements in Analysis and Design 141 96 (2018)
https://doi.org/10.1016/j.finel.2017.12.004

Interpolatory model reduction of parameterized bilinear dynamical systems

Andrea Carracedo Rodriguez, Serkan Gugercin and Jeff Borggaard
Advances in Computational Mathematics 44 (6) 1887 (2018)
https://doi.org/10.1007/s10444-018-9611-y