| 1 | A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control | 1.1 | 3 | Citations (PDF) |
| 2 | Stabilized weighted reduced order methods for parametrized advection-dominated optimal control problems governed by partial differential equations with random inputs | 3.1 | 2 | Citations (PDF) |
| 3 | Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model | 1.9 | 0 | Citations (PDF) |
| 4 | A comparative computational study of different formulations of the compressible Euler equations for mesoscale atmospheric flows in a finite volume framework | 2.8 | 1 | Citations (PDF) |
| 5 | Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations | 3.8 | 0 | Citations (PDF) |
| 6 | A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number | 2.4 | 0 | Citations (PDF) |
| 7 | KD-AHOSVD: Neural Network Compression via Knowledge Distillation and Tensor Decomposition | 0.0 | 0 | Citations (PDF) |
| 8 | A shape optimization pipeline for marine propellers by means of reduced order modeling techniques | 3.0 | 3 | Citations (PDF) |
| 9 | Generative models for the deformation of industrial shapes with linear geometric constraints: Model order and parameter space reductions | 7.2 | 2 | Citations (PDF) |
| 10 | Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics | 2.9 | 1 | Citations (PDF) |
| 11 | Effect of particle aspect ratio in targeted drug delivery in abdominal aortic aneurysm | 2.6 | 9 | Citations (PDF) |
| 12 | A Local Approach to Parameter Space Reduction for Regression and Classification Tasks | 2.7 | 3 | Citations (PDF) |
| 13 | Worked Out Problem 2: A Linear Elasticity Problem on a Square | 0.0 | 0 | Citations (PDF) |
| 14 | Worked Out Problem 4: A Transport Problem for the 2D Graetz Flow | 0.0 | 0 | Citations (PDF) |
| 15 | An optimisation–based domain–decomposition reduced order model for parameter–dependent non–stationary fluid dynamics problems | 2.4 | 4 | Citations (PDF) |
| 16 | Worked Out Problem 11: A Linear Elasticity Application on a Beam Bridge | 0.0 | 0 | Citations (PDF) |
| 17 | A Short Introduction to Reduced Basis Method | 0.0 | 0 | Citations (PDF) |
| 18 | Worked Out Problem 1: Steady Heat Conduction in a Thermal Block | 0.0 | 0 | Citations (PDF) |
| 19 | Worked Out Problem 3: Thermal Transfer Problem in a Parametrized Geometry | 0.0 | 0 | Citations (PDF) |
| 20 | Worked Out Problem 6: Unsteady Heat Conduction in a Thermal Block | 0.0 | 0 | Citations (PDF) |
| 21 | Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics | 2.8 | 2 | Citations (PDF) |
| 22 | Worked Out Problem 9: A Thermal Conduction Problem Through an Extended Surface | 0.0 | 0 | Citations (PDF) |
| 23 | Worked Out Problem 12: Navier-Stokes System for a Backward-Facing Step | 0.0 | 0 | Citations (PDF) |
| 24 | An LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems | 2.8 | 4 | Citations (PDF) |
| 25 | Feature Paper Collection of Mathematical and Computational Applications—2023 | 1.5 | 0 | Citations (PDF) |
| 26 | A novel Large Eddy Simulation model for the Quasi-Geostrophic equations in a Finite Volume setting | 2.4 | 9 | Citations (PDF) |
| 27 | Projection Based Semi-Implicit Partitioned Reduced Basis Method for Fluid-Structure Interaction Problems | 2.7 | 7 | Citations (PDF) |
| 28 | Assessment of URANS and LES methods in predicting wake shed behind a vertical axis wind turbine | 4.4 | 21 | Citations (PDF) |
| 29 | Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters | 2.7 | 17 | Citations (PDF) |
| 30 | Pressure data-driven variational multiscale reduced order models | 3.8 | 9 | Citations (PDF) |
| 31 | Hybrid data-driven closure strategies for reduced order modeling | 1.9 | 4 | Citations (PDF) |
| 32 | Feature Paper Collection of Mathematical and Computational Applications—2022 | 1.5 | 0 | Citations (PDF) |
| 33 | An artificial neural network approach to bifurcating phenomena in computational fluid dynamics | 2.8 | 43 | Citations (PDF) |
| 34 | Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method | 2.7 | 30 | Citations (PDF) |
| 35 | Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation | 2.7 | 5 | Citations (PDF) |
| 36 | A linear filter regularization for POD-based reduced-order models of the quasi-geostrophic equations | 0.6 | 4 | Citations (PDF) |
| 37 | A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation | 1.6 | 12 | Citations (PDF) |
| 38 | A hybrid projection/data-driven reduced order model for the Navier-Stokes equations with nonlinear filtering stabilization | 3.8 | 8 | Citations (PDF) |
| 39 | Validation of an OpenFOAM®-based solver for the Euler equations with benchmarks for mesoscale atmospheric modeling | 1.3 | 10 | Citations (PDF) |
| 40 | An extended physics informed neural network for preliminary analysis of parametric optimal control problems | 2.4 | 10 | Citations (PDF) |
| 41 | A dimensionality reduction approach for convolutional neural networks | 3.5 | 6 | Citations (PDF) |
| 42 | A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations | 3.8 | 15 | Citations (PDF) |
| 43 | Physics-Informed Neural networks for Advanced
modeling | 2.4 | 4 | Citations (PDF) |
| 44 | A DeepONet multi-fidelity approach for residual learning in reduced order modeling | 2.9 | 6 | Citations (PDF) |
| 45 | A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems | 1.6 | 10 | Citations (PDF) |
| 46 | Multi‐fidelity data fusion through parameter space reduction with applications to automotive engineering | 3.0 | 4 | Citations (PDF) |
| 47 | A two-stage deep learning architecture for model reduction of parametric time-dependent problems | 2.4 | 3 | Citations (PDF) |
| 48 | A physics-based reduced order model for urban air pollution prediction | 7.2 | 6 | Citations (PDF) |
| 49 | Filter stabilization for the mildly compressible Euler equations with application to atmosphere dynamics simulations | 2.8 | 5 | Citations (PDF) |
| 50 | An optimisation–based domain–decomposition reduced order model for the incompressible Navier-Stokes equations | 2.4 | 7 | Citations (PDF) |
| 51 | Worked Out Problem 13: Bifurcating Coanda Effect in a Channel | 0.0 | 0 | Citations (PDF) |
| 52 | Worked Out Problem 15: Stabilized Reduced Method for an Advection Dominated Problem | 0.0 | 0 | Citations (PDF) |
| 53 | Worked Out Problem 17: Uncertainty Quantification for a Stochastic Thermal Block | 0.0 | 0 | Citations (PDF) |
| 54 | Worked Out Problem 5: Heat Conduction with Gaussian Flux | 0.0 | 0 | Citations (PDF) |
| 55 | Worked Out Problem 14: Unsteady Navier-Stokes Equations for Vortex Shedding Behind a Cylinder | 0.0 | 0 | Citations (PDF) |
| 56 | Worked Out Problem 8: A Nonlinear Parabolic FitzHugh–Nagumo Problem | 0.0 | 0 | Citations (PDF) |
| 57 | Worked Out Problem 7: A Nonlinear Elliptic Problem | 0.0 | 0 | Citations (PDF) |
| 58 | Worked Out Problem 10: An Idealized Contact Problem in Linear Elasticity with Friction | 0.0 | 0 | Citations (PDF) |
| 59 | Worked Out Problem 16: A Parametrized Elliptic Optimal Control Problem | 0.0 | 0 | Citations (PDF) |
| 60 | A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier–Stokes problems | 2.4 | 6 | Citations (PDF) |
| 61 | POD-Galerkin model order reduction for parametrized nonlinear time-dependent optimal flow control: an application to shallow water equations | 3.1 | 10 | Citations (PDF) |
| 62 | Space-time POD-Galerkin approach for parametric flow control | 1.6 | 6 | Citations (PDF) |
| 63 | The Neural Network shifted-proper orthogonal decomposition: A machine learning approach for non-linear reduction of hyperbolic equations | 7.2 | 38 | Citations (PDF) |
| 64 | Consistency of the full and reduced order models for evolve‐filter‐relax regularization of convection‐dominated, marginally‐resolved flows | 3.0 | 17 | Citations (PDF) |
| 65 | Microrom: An efficient and accurate reduced order method to solve many-query problems in micro-motility
| 0.6 | 0 | Citations (PDF) |
| 66 | Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier–Stokes equations with model order reduction | 1.7 | 15 | Citations (PDF) |
| 67 | Model order reduction for bifurcating phenomena in fluid‐structure interaction problems | 1.8 | 9 | Citations (PDF) |
| 68 | Reduced basis methods for time-dependent problems | 10.2 | 45 | Citations (PDF) |
| 69 | Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method | 7.2 | 7 | Citations (PDF) |
| 70 | A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation | 2.8 | 15 | Citations (PDF) |
| 71 | Advances in cardiovascular modeling and simulation | 2.5 | 0 | Citations (PDF) |
| 72 | Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device | 2.4 | 15 | Citations (PDF) |
| 73 | Numerical proof of shell model turbulence closure | 2.5 | 5 | Citations (PDF) |
| 74 | Neural-network learning of SPOD latent dynamics | 3.8 | 16 | Citations (PDF) |
| 75 | Finite element based Model Order Reduction for parametrized one-way coupled steady state linear thermo-mechanical problems | 3.2 | 14 | Citations (PDF) |
| 76 | Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier–Stokes Equations | 0.6 | 0 | Citations (PDF) |
| 77 | Reduced order methods for parametric optimal flow control in coronary bypass grafts, toward patient‐specific data assimilation | 2.5 | 16 | Citations (PDF) |
| 78 | A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step | 4.9 | 21 | Citations (PDF) |
| 79 | On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis | 2.8 | 18 | Citations (PDF) |
| 80 | Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting | 1.4 | 2 | Citations (PDF) |
| 81 | A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems | 2.3 | 17 | Citations (PDF) |
| 82 | A Gaussian Process Regression approach within a data-driven POD framework for engineering problems in fluid dynamics | 1.0 | 21 | Citations (PDF) |
| 83 | PyGeM: Python Geometrical Morphing | 1.6 | 26 | Citations (PDF) |
| 84 | Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing | 2.6 | 30 | Citations (PDF) |
| 85 | Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces | 0.5 | 2 | Citations (PDF) |
| 86 | Reduced order models for the incompressible Navier‐Stokes equations on collocated grids using a ‘discretize‐then‐project’ approach | 1.8 | 6 | Citations (PDF) |
| 87 | A Monolithic and a Partitioned, Reduced Basis Method for Fluid–Structure Interaction Problems | 1.8 | 15 | Citations (PDF) |
| 88 | A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation | 3.0 | 5 | Citations (PDF) |
| 89 | Non-intrusive data-driven ROM framework for hemodynamics problems | 3.8 | 12 | Citations (PDF) |
| 90 | A POD-Galerkin reduced order model for a LES filtering approach | 3.8 | 33 | Citations (PDF) |
| 91 | A Reduced Order Model for a Stable Embedded Boundary Parametrized Cahn–Hilliard Phase-Field System Based on Cut Finite Elements | 2.7 | 3 | Citations (PDF) |
| 92 | Hybrid Neural Network Reduced Order Modelling for Turbulent Flows with Geometric Parameters | 1.8 | 17 | Citations (PDF) |
| 93 | Pressure Stabilization Strategies for a LES Filtering Reduced Order Model | 1.8 | 13 | Citations (PDF) |
| 94 | An optimal control approach to determine <scp>resistance‐type</scp> boundary conditions from in‐vivo data for cardiovascular simulations | 2.5 | 16 | Citations (PDF) |
| 95 | ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis | 1.6 | 8 | Citations (PDF) |
| 96 | Fluid-structure interaction simulations with a LES filtering approach in <i>solids4Foam</i> | 0.2 | 11 | Citations (PDF) |
| 97 | Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences | 0.0 | 8 | Citations (PDF) |
| 98 | A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences | 2.4 | 18 | Citations (PDF) |
| 99 | Reduced Flow Model for Plastics Melt Inside an Extrusion Die | 0.5 | 3 | Citations (PDF) |
| 100 | Reduced basis model order reduction for Navier–Stokes equations in domains with walls of varying curvature | 1.1 | 15 | Citations (PDF) |
| 101 | POD–Galerkin reduced order methods for combined Navier–Stokes transport equations based on a hybrid FV-FE solver | 2.4 | 17 | Citations (PDF) |
| 102 | Projection-based reduced order models for a cut finite element method in parametrized domains | 2.4 | 25 | Citations (PDF) |
| 103 | A reduced-order shifted boundary method for parametrized incompressible Navier–Stokes equations | 7.2 | 16 | Citations (PDF) |
| 104 | Enhancing CFD predictions in shape design problems by model and parameter space reduction | 2.9 | 20 | Citations (PDF) |
| 105 | Data-driven POD-Galerkin reduced order model for turbulent flows | 3.8 | 137 | Citations (PDF) |
| 106 | Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height | 2.4 | 14 | Citations (PDF) |
| 107 | POD–Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation | 2.7 | 15 | Citations (PDF) |
| 108 | A hybrid reduced order method for modelling turbulent heat transfer problems | 2.8 | 30 | Citations (PDF) |
| 109 | Efficient geometrical parametrization for finite‐volume‐based reduced order methods | 3.0 | 33 | Citations (PDF) |
| 110 | Stabilized reduced basis methods for parametrized steady Stokes and Navier–Stokes equations | 2.4 | 28 | Citations (PDF) |
| 111 | An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques | 0.5 | 18 | Citations (PDF) |
| 112 | A Reduced Order Approach for the Embedded Shifted Boundary FEM and a Heat Exchange System on Parametrized Geometries | 0.0 | 6 | Citations (PDF) |
| 113 | The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: From Laminar to Turbulent Flows | 0.0 | 9 | Citations (PDF) |
| 114 | Reduced Order Isogeometric Analysis Approach for PDEs in Parametrized Domains | 0.0 | 8 | Citations (PDF) |
| 115 | Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method | 1.6 | 18 | Citations (PDF) |
| 116 | A Reduced Order Modeling Technique to Study Bifurcating Phenomena: Application to the Gross--Pitaevskii Equation | 2.3 | 11 | Citations (PDF) |
| 117 | 1 Basic ideas and tools for projection-based model reduction of parametric partial differential equations 2020, , 1-47 | | 8 | Citations (PDF) |
| 118 | A Spectral Element Reduced Basis Method for Navier–Stokes Equations with Geometric Variations | 0.0 | 6 | Citations (PDF) |
| 119 | Non-intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: A Comparison and Perspectives | 0.0 | 3 | Citations (PDF) |
| 120 | A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces | 0.6 | 31 | Citations (PDF) |
| 121 | Reduced Basis Approaches for Parametrized Bifurcation Problems held by Non-linear Von Kármán Equations | 2.7 | 17 | Citations (PDF) |
| 122 | Preface: Special Issue on Model Reduction | 2.7 | 3 | Citations (PDF) |
| 123 | A reduced basis approach for PDEs on parametrized geometries based on the shifted boundary finite element method and application to a Stokes flow | 7.2 | 26 | Citations (PDF) |
| 124 | 19th International Conference on Finite Elements in Flow Problems | 2.8 | 0 | Citations (PDF) |
| 125 | A reduced order variational multiscale approach for turbulent flows | 1.6 | 53 | Citations (PDF) |
| 126 | A Finite Volume approximation of the Navier-Stokes equations with nonlinear filtering stabilization | 2.8 | 24 | Citations (PDF) |
| 127 | A Spectral Element Reduced Basis Method in Parametric CFD | 0.0 | 4 | Citations (PDF) |
| 128 | A POD‐selective inverse distance weighting method for fast parametrized shape morphing | 3.0 | 32 | Citations (PDF) |
| 129 | A localized reduced-order modeling approach for PDEs with bifurcating solutions | 7.2 | 38 | Citations (PDF) |
| 130 | Weighted Reduced Order Methods for Parametrized Partial Differential Equations with Random Inputs | 0.0 | 5 | Citations (PDF) |
| 131 | BladeX: Python Blade Morphing | 2.4 | 2 | Citations (PDF) |
| 132 | Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier–Stokes equations | 2.8 | 141 | Citations (PDF) |
| 133 | Combined Parameter and Model Reduction of Cardiovascular Problems by Means of Active Subspaces and POD-Galerkin Methods | 0.0 | 28 | Citations (PDF) |
| 134 | Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems | 2.9 | 39 | Citations (PDF) |
| 135 | Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs | 1.8 | 22 | Citations (PDF) |
| 136 | Reduced Basis Approximation and A Posteriori Error Estimation: Applications to Elasticity Problems in Several Parametric Settings | 0.0 | 2 | Citations (PDF) |
| 137 | Free-form deformation, mesh morphing and reduced-order methods: enablers for efficient aerodynamic shape optimisation | 1.1 | 41 | Citations (PDF) |
| 138 | Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering | 2.3 | 36 | Citations (PDF) |
| 139 | A Weighted POD Method for Elliptic PDEs with Random Inputs | 2.7 | 22 | Citations (PDF) |
| 140 | Computational Methods in Cardiovascular Mechanics 2018, , 129-182 | | 1 | Citations (PDF) |
| 141 | PyDMD: Python Dynamic Mode Decomposition | 2.4 | 81 | Citations (PDF) |
| 142 | EZyRB: Easy Reduced Basis method | 2.4 | 32 | Citations (PDF) |
| 143 | A reduced order model for investigating the dynamics of the Gen-IV LFR coolant pool | 4.9 | 24 | Citations (PDF) |
| 144 | Computational reduction strategies for the detection of steady bifurcations in incompressible fluid-dynamics: Applications to Coanda effect in cardiology | 3.8 | 33 | Citations (PDF) |
| 145 | On the Application of Reduced Basis Methods to Bifurcation Problems in Incompressible Fluid Dynamics | 2.7 | 26 | Citations (PDF) |
| 146 | Numerical modeling of hemodynamics scenarios of patient-specific coronary artery bypass grafts | 2.4 | 36 | Citations (PDF) |
| 147 | Reduced Basis Methods for Uncertainty Quantification | 1.8 | 48 | Citations (PDF) |
| 148 | Reduced-Order Semi-Implicit Schemes for Fluid-Structure Interaction Problems | 0.0 | 8 | Citations (PDF) |
| 149 | On a Certified Smagorinsky Reduced Basis Turbulence Model | 2.6 | 40 | Citations (PDF) |
| 150 | POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder | 0.2 | 59 | Citations (PDF) |
| 151 | Certified Reduced Basis Approximation for the Coupling of Viscous and Inviscid Parametrized Flow Models | 2.7 | 3 | Citations (PDF) |
| 152 | Reduced Basis Method for the Stokes Equations in Decomposable Parametrized Domains Using Greedy Optimization | 0.0 | 0 | Citations (PDF) |
| 153 | Certified Reduced Basis Method for Affinely Parametric Isogeometric Analysis NURBS Approximation | 0.0 | 2 | Citations (PDF) |
| 154 | POD–Galerkin monolithic reduced order models for parametrized fluid‐structure interaction problems | 1.8 | 44 | Citations (PDF) |
| 155 | Reduced Basis Approaches in Time-Dependent Non-Coercive Settings for Modelling the Movement of Nuclear Reactor Control Rods | 1.4 | 3 | Citations (PDF) |
| 156 | A Reduced Basis Approach for Modeling the Movement of Nuclear Reactor Control Rods | 0.6 | 12 | Citations (PDF) |
| 157 | Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries | 2.4 | 49 | Citations (PDF) |
| 158 | Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD–Galerkin method and a vascular shape parametrization | 3.8 | 82 | Citations (PDF) |
| 159 | POD-Galerkin method for finite volume approximation of Navier–Stokes and RANS equations | 7.2 | 104 | Citations (PDF) |
| 160 | Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes | 2.9 | 20 | Citations (PDF) |
| 161 | A multi-physics reduced order model for the analysis of Lead Fast Reactor single channel | 2.1 | 27 | Citations (PDF) |
| 162 | Beyond the Basics | 0.0 | 0 | Citations (PDF) |
| 163 | Introduction | 0.0 | 6 | Citations (PDF) |
| 164 | Certified Error Control | 0.0 | 1 | Citations (PDF) |
| 165 | ADVANCES IN GEOMETRICAL PARAMETRIZATION AND REDUCED ORDER MODELS AND METHODS FOR COMPUTATIONAL FLUID DYNAMICS PROBLEMS IN APPLIED SCIENCES AND ENGINEERING: OVERVIEW AND PERSPECTIVES 2016, , 1013-1031 | | 13 | Citations (PDF) |
| 166 | The Empirical Interpolation Method | 0.0 | 1 | Citations (PDF) |
| 167 | Supremizer stabilization of POD–Galerkin approximation of parametrized steady incompressible Navier–Stokes equations | 3.0 | 204 | Citations (PDF) |
| 168 | Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations | 2.4 | 45 | Citations (PDF) |
| 169 | Model order reduction of parameterized systems (MoRePaS) | 1.6 | 9 | Citations (PDF) |
| 170 | Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations | 1.9 | 40 | Citations (PDF) |
| 171 | Reduced Basis Approximation of Parametrized Advection-Diffusion PDEs with High Péclet Number | 0.0 | 3 | Citations (PDF) |
| 172 | A Reduced Order Model for Multi-Group Time-Dependent Parametrized Reactor Spatial Kinetics 2014, , | | 3 | Citations (PDF) |
| 173 | A weighted empirical interpolation method:<i>a priori</i>convergence analysis and applications | 0.6 | 20 | Citations (PDF) |
| 174 | Stabilized reduced basis method for parametrized advection–diffusion PDEs | 7.2 | 43 | Citations (PDF) |
| 175 | An improvement on geometrical parameterizations by transfinite maps | 0.5 | 10 | Citations (PDF) |
| 176 | Fundamentals of reduced basis method for problems governed by parametrized PDEs and applications | 0.0 | 12 | Citations (PDF) |
| 177 | Efficient geometrical parametrisation techniques of interfaces for reduced-order modelling: application to fluid–structure interaction coupling problems | 1.1 | 39 | Citations (PDF) |
| 178 | Comparison of a Modal Method and a Proper Orthogonal Decomposition approach for multi-group time-dependent reactor spatial kinetics | 2.1 | 36 | Citations (PDF) |
| 179 | Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy system | 1.6 | 30 | Citations (PDF) |
| 180 | Model Order Reduction in Fluid Dynamics: Challenges and Perspectives 2014, , 235-273 | | 86 | Citations (PDF) |
| 181 | A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows 2014, , 145-155 | | 3 | Citations (PDF) |
| 182 | Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants | 1.9 | 102 | Citations (PDF) |
| 183 | Reduced Basis Method for Parametrized Elliptic Optimal Control Problems | 2.3 | 77 | Citations (PDF) |
| 184 | A combination between the reduced basis method and the ANOVA expansion: On the computation of sensitivity indices | 0.5 | 1 | Citations (PDF) |
| 185 | Simulation‐based uncertainty quantification of human arterial network hemodynamics | 2.5 | 62 | Citations (PDF) |
| 186 | A reduced computational and geometrical framework for inverse problems in hemodynamics | 2.5 | 82 | Citations (PDF) |
| 187 | A Weighted Reduced Basis Method for Elliptic Partial Differential Equations with Random Input Data | 2.6 | 52 | Citations (PDF) |
| 188 | Stochastic Optimal Robin Boundary Control Problems of Advection-Dominated Elliptic Equations | 2.6 | 40 | Citations (PDF) |
| 189 | Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty | 0.6 | 23 | Citations (PDF) |
| 190 | Comparison Between Reduced Basis and Stochastic Collocation Methods for Elliptic Problems | 2.7 | 52 | Citations (PDF) |
| 191 | Shape Optimization by Free-Form Deformation: Existence Results and Numerical Solution for Stokes Flows | 2.7 | 24 | Citations (PDF) |
| 192 | Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics | 0.0 | 1 | Citations (PDF) |
| 193 | Generalized Reduced Basis Methods and n-Width Estimates for the Approximation of the Solution Manifold of Parametric PDEs | 0.0 | 13 | Citations (PDF) |
| 194 | A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction Problems | 2.3 | 25 | Citations (PDF) |
| 195 | Computational Reduction for Parametrized PDEs: Strategies and Applications | 0.7 | 33 | Citations (PDF) |
| 196 | Numerical Simulation of Sailing Boats: Dynamics, FSI, and Shape Optimization | 0.0 | 20 | Citations (PDF) |
| 197 | On the approximation of stability factors for general parametrized partial differential equations with a two-level affine decomposition | 0.6 | 15 | Citations (PDF) |
| 198 | Shape optimization for viscous flows by reduced basis methods and free‐form deformation | 1.8 | 97 | Citations (PDF) |
| 199 | Model reduction techniques for fast blood flow simulation in parametrized geometries | 2.5 | 72 | Citations (PDF) |
| 200 | A reduced basis hybrid method for the coupling of parametrized domains represented by fluidic networks | 7.2 | 52 | Citations (PDF) |
| 201 | Reduced Basis Approximation and Error Bounds for Potential Flows in Parametrized Geometries | 1.4 | 32 | Citations (PDF) |
| 202 | Certified reduced basis approximation for parametrized partial differential equations and applications | 2.1 | 138 | Citations (PDF) |
| 203 | Model reduction of semiaffinely parameterized partial differential equations by two-level affine approximation | 0.5 | 3 | Citations (PDF) |
| 204 | Comparison and combination of reduced-order modelling techniques in 3D parametrized heat transfer problems | 1.7 | 12 | Citations (PDF) |
| 205 | Reduced Basis Approximation for Shape Optimization in Thermal Flows with a Parametrized Polynomial Geometric Map | 0.0 | 19 | Citations (PDF) |
| 206 | Parametric free-form shape design with PDE models and reduced basis method | 7.2 | 103 | Citations (PDF) |
| 207 | Reduced Basis Approximation and a Posteriori Error Estimation for Parametrized Parabolic PDEs: Application to Real‐Time Bayesian Parameter Estimation 2010, , 151-177 | | 26 | Citations (PDF) |
| 208 | Reduced basis approximation and a posteriori error estimation for the time-dependent viscous Burgers’ equation | 1.1 | 101 | Citations (PDF) |
| 209 | Reduced basis method for multi-parameter-dependent steady Navier–Stokes equations: Applications to natural convection in a cavity | 3.8 | 71 | Citations (PDF) |
| 210 | AN INTRODUCTION TO REDUCED BASIS METHOD FOR PARAMETRIZED PDEs 2009, , 508-519 | | 1 | Citations (PDF) |
| 211 | Reduced Basis Approximation and a Posteriori Error Estimation for Affinely Parametrized Elliptic Coercive Partial Differential Equations | 13.2 | 770 | Citations (PDF) |
| 212 | Reduced basis method for linear elasticity problems with many parameters | 7.2 | 38 | Citations (PDF) |
| 213 | Numerical solution of parametrized Navier–Stokes equations by reduced basis methods | 1.9 | 113 | Citations (PDF) |
| 214 | On the stability of the reduced basis method for Stokes equations in parametrized domains | 7.2 | 204 | Citations (PDF) |
| 215 | A successive constraint linear optimization method for lower bounds of parametric coercivity and inf–sup stability constants | 0.5 | 170 | Citations (PDF) |
| 216 | Reduced basis approximation and a posteriori error estimation for affinely parametrized elliptic coercive partial differential equations | 13.2 | 162 | Citations (PDF) |
| 217 | Shape Design in Aorto-Coronaric Bypass Anastomoses Using Perturbation Theory | 2.6 | 32 | Citations (PDF) |
| 218 | A Mathematical Approach in the Design of Arterial Bypass Using Unsteady Stokes Equations | 2.7 | 27 | Citations (PDF) |
| 219 | Reduced basis methods for Stokes equations in domains with non-affine parameter dependence | 1.3 | 51 | Citations (PDF) |
| 220 | Reduced-basis methods for elliptic equations in sub-domains with a posteriori error bounds and adaptivity | 2.1 | 28 | Citations (PDF) |
| 221 | On optimization, control and shape design of an arterial bypass | 1.8 | 41 | Citations (PDF) |
| 222 | OPTIMAL CONTROL AND SHAPE OPTIMIZATION OF AORTO-CORONARIC BYPASS ANASTOMOSES | 2.8 | 82 | Citations (PDF) |
| 223 | Numerical Approximation of a Control Problem for Advection-Diffusion Processes 0, , 261-273 | | 5 | Citations (PDF) |
| 224 | Model Reduction Methods 0, , 1-36 | | 42 | Citations (PDF) |
