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Model order reduction and sensitivity analysis for complex heat transfer simulations inside the human eyeball
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Reduced basis homogenization of thermal and elastic properties for periodic composite materials
A projection‐based reduced‐order model for parametric quasi‐static nonlinear mechanics using an open‐source industrial code
Eki Agouzal, Jean‐Philippe Argaud, Michel Bergmann, Guilhem Ferté and Tommaso Taddei International Journal for Numerical Methods in Engineering 125(4) (2024) https://doi.org/10.1002/nme.7385
Data-driven structure-preserving model reduction for stochastic Hamiltonian systems
Reduced order modeling for elliptic problems with high contrast diffusion coefficients
Albert Cohen, Wolfgang Dahmen, Matthieu Dolbeault and Agustin Somacal ESAIM: Mathematical Modelling and Numerical Analysis 57(5) 2775 (2023) https://doi.org/10.1051/m2an/2023013
An automated parameter domain decomposition approach for gravitational wave surrogates using hp-greedy refinement
Evaluation of the iterative method of task distribution in a swarm of unmanned aerial vehicles in a clustered field of targets
Vyacheslav Petrenko, Fariza Tebueva, Vladimir Antonov, Sergey Ryabtsev, Artur Sakolchik and Dina Satybaldina Journal of King Saud University - Computer and Information Sciences 35(3) 283 (2023) https://doi.org/10.1016/j.jksuci.2023.02.022
Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking
Localized model order reduction and domain decomposition methods for coupled heterogeneous systems
Niccolò Discacciati and Jan S. Hesthaven International Journal for Numerical Methods in Engineering 124(18) 3964 (2023) https://doi.org/10.1002/nme.7295
Sparse Polynomial Approximations for Affine Parametric Saddle Point Problems
An iterative multi‐fidelity approach for model order reduction of multidimensional input parametric PDE systems
Manisha Chetry, Domenico Borzacchiello, Lucas Lestandi and Luisa Rocha Da Silva International Journal for Numerical Methods in Engineering 124(22) 4941 (2023) https://doi.org/10.1002/nme.7333
Multi‐fidelity error estimation accelerates greedy model reduction of complex dynamical systems
Lihong Feng, Luigi Lombardi, Giulio Antonini and Peter Benner International Journal for Numerical Methods in Engineering 124(23) 5312 (2023) https://doi.org/10.1002/nme.7348
Bayes goes fast: Uncertainty quantification for a covariant energy density functional emulated by the reduced basis method
Evaluation of dual-weighted residual and machine learning error estimation for projection-based reduced-order models of steady partial differential equations
Projection-tree reduced-order modeling for fast N-body computations
Steven N. Rodriguez, Athanasios P. Iliopoulos, Kevin T. Carlberg, et al. Journal of Computational Physics 459 111141 (2022) https://doi.org/10.1016/j.jcp.2022.111141
An Efficient QSC Approximation of Variable-Order Time-Fractional Mobile-Immobile Diffusion Equations with Variably Diffusive Coefficients
Recent Advances in Industrial and Applied Mathematics
Albert Cohen, Wolfgang Dahmen and Ron DeVore SEMA SIMAI Springer Series, Recent Advances in Industrial and Applied Mathematics 1 57 (2022) https://doi.org/10.1007/978-3-030-86236-7_4
Non-Smooth and Complementarity-Based Distributed Parameter Systems
Stefan Banholzer, Bennet Gebken, Michael Dellnitz, Sebastian Peitz and Stefan Volkwein International Series of Numerical Mathematics, Non-Smooth and Complementarity-Based Distributed Parameter Systems 172 43 (2022) https://doi.org/10.1007/978-3-030-79393-7_3
Biorthogonal Greedy Algorithms in convex optimization
A greedy reduced basis algorithm for structural acoustic systems with parameter and implicit frequency dependence
Christopher Jelich, Suhaib Koji Baydoun, Matthias Voigt and Steffen Marburg International Journal for Numerical Methods in Engineering 122(24) 7409 (2021) https://doi.org/10.1002/nme.6835
Generalization of the Neville–Aitken interpolation algorithm on Grassmann manifolds: Applications to reduced order model
Rolando Mosquera, Abdallah El Hamidi, Aziz Hamdouni and Antoine Falaize International Journal for Numerical Methods in Fluids 93(7) 2421 (2021) https://doi.org/10.1002/fld.4981
Error estimate of the non-intrusive reduced basis method with finite volume schemes
Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting
Matteo Zancanaro, Francesco Ballarin, Simona Perotto and Gianluigi Rozza Multiscale Modeling & Simulation 19(1) 267 (2021) https://doi.org/10.1137/19M1285330
An Automatic Krylov subspaces Recycling technique for the construction of a global solution basis of non-affine parametric linear systems
Dionysios Panagiotopoulos, Wim Desmet and Elke Deckers Computer Methods in Applied Mechanics and Engineering 373 113510 (2021) https://doi.org/10.1016/j.cma.2020.113510
Application of ANN for prediction of chloride penetration resistance and concrete compressive strength
A greedy reduced basis scheme for multifrequency solution of structural acoustic systems
Suhaib Koji Baydoun, Matthias Voigt, Christopher Jelich and Steffen Marburg International Journal for Numerical Methods in Engineering 121(2) 187 (2020) https://doi.org/10.1002/nme.6205
Reduced Basis Greedy Selection Using Random Training Sets
Albert Cohen, Wolfgang Dahmen, Ronald DeVore and James Nichols ESAIM: Mathematical Modelling and Numerical Analysis 54(5) 1509 (2020) https://doi.org/10.1051/m2an/2020004
Integration of moment equations in a reduced-order modeling strategy for Monte Carlo simulations of groundwater flow
Nonintrusive approximation of parametrized limits of matrix power algorithms – application to matrix inverses and log-determinants
Fabien Casenave, Nissrine Akkari, Alexandre Charles and Christian Rey ESAIM: Mathematical Modelling and Numerical Analysis 53(1) 219 (2019) https://doi.org/10.1051/m2an/2018048
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem