Pages that link to "Item:Q2874985"
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The following pages link to A posteriori error estimation for DEIM reduced nonlinear dynamical systems (Q2874985):
Displaying 49 items.
- Automatised selection of load paths to construct reduced-order models in computational damage micromechanics: from dissipation-driven random selection to Bayesian optimization (Q310267) (← links)
- A-posteriori error estimation for second order mechanical systems (Q315237) (← links)
- Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems (Q450725) (← links)
- Nonlinear model-order reduction for compressible flow solvers using the discrete empirical interpolation method (Q525938) (← links)
- An algorithmic comparison of the hyper-reduction and the discrete empirical interpolation method for a nonlinear thermal problem (Q1649307) (← links)
- Reduced basis isogeometric methods (RB-IGA) for the real-time simulation of potential flows about parametrized NACA airfoils (Q1798026) (← links)
- Machine-learning error models for approximate solutions to parameterized systems of nonlinear equations (Q1987897) (← links)
- Error estimation of the parametric non-intrusive reduced order model using machine learning (Q1988235) (← links)
- Stabilized model reduction for nonlinear dynamical systems through a contractivity-preserving framework (Q2023565) (← links)
- Goal-oriented model reduction for parametrized time-dependent nonlinear partial differential equations (Q2060100) (← links)
- A generalized DEIM technique for model order reduction of porous media simulations in reservoir optimizations (Q2123800) (← links)
- Parametric nonlinear model reduction using \(K\)-means clustering for miscible flow simulation (Q2217993) (← links)
- Efficient storage and interpolation of acoustic transfer functions (Q2223990) (← links)
- Sensitivity analysis and model order reduction for random linear dynamical systems (Q2228628) (← links)
- Model reduction for initial value ODEs (Q2241938) (← links)
- Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape (Q2305538) (← links)
- Evaluation of Galerkin and Petrov-Galerkin model reduction for finite element approximations of the shallow water equations (Q2309775) (← links)
- A matrix DEIM technique for model reduction of nonlinear parametrized problems in cardiac mechanics (Q2309983) (← links)
- Efficient model reduction of parametrized systems by matrix discrete empirical interpolation (Q2374878) (← links)
- Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods (Q2664055) (← links)
- A POD–EIM reduced two-scale model for precipitation in porous media (Q2831100) (← links)
- A state space error estimate for POD-DEIM nonlinear model reduction (Q2882332) (← links)
- The ROMES Method for Statistical Modeling of Reduced-Order-Model Error (Q2945141) (← links)
- <i>A posteriori</i>error estimators for linear reduced-order models using Krylov-based integrators (Q2952720) (← links)
- An adaptive and efficient greedy procedure for the optimal training of parametric reduced-order models (Q2952722) (← links)
- Efficient reduced models and<i>a posteriori</i>error estimation for parametrized dynamical systems by offline/online decomposition (Q3015941) (← links)
- The Discrete Empirical Interpolation Method: Canonical Structure and Formulation in Weighted Inner Product Spaces (Q3176354) (← links)
- Reduced basis approximation of large scale parametric algebraic Riccati equations (Q3177912) (← links)
- Efficient Reduction of PDEs Defined on Domains with Variable Shape (Q4637158) (← links)
- Energy Stable Model Order Reduction for the Allen-Cahn Equation (Q4637175) (← links)
- A Posteriori Error Estimation in Model Order Reduction of Elastic Multibody Systems with Large Rigid Motion (Q4973307) (← links)
- Structure-preserving reduced basis methods for Poisson systems (Q4992229) (← links)
- 13 MOR software (Q4993253) (← links)
- (Q5061863) (← links)
- Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations (Q5154000) (← links)
- Preserving Lagrangian Structure in Nonlinear Model Reduction with Application to Structural Dynamics (Q5254410) (← links)
- Dynamical Model Reduction Method for Solving Parameter-Dependent Dynamical Systems (Q5350447) (← links)
- Error Estimation for Reduced-Order Models of Dynamical Systems (Q5470898) (← links)
- Reduced basis methods for time-dependent problems (Q5887836) (← links)
- Efficient and certified solution of parametrized one-way coupled problems through DEIM-based data projection across non-conforming interfaces (Q6038827) (← links)
- A localized reduced basis approach for unfitted domain methods on parameterized geometries (Q6048372) (← links)
- Fast solution of the linearized Poisson-Boltzmann equation with nonaffine parametrized boundary conditions using the reduced basis method (Q6163826) (← links)
- Accurate error estimation for model reduction of nonlinear dynamical systems via data-enhanced error closure (Q6194176) (← links)
- Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics (Q6195566) (← links)
- An adaptive method based on local dynamic mode decomposition for parametric dynamical systems (Q6537069) (← links)
- Adaptive reduced order modeling for nonlinear dynamical systems through a new a posteriori error estimator: application to uncertainty quantification (Q6553492) (← links)
- Model reduction for linear and nonlinear magneto-quasistatic equations (Q6557398) (← links)
- Limited-memory adaptive snapshot selection for proper orthogonal decomposition (Q6565249) (← links)
- Reduced order modeling of random linear dynamical systems based on a new a posteriori error bound (Q6569301) (← links)