Pages that link to "Item:Q3619763"
From MaRDI portal
The following pages link to An efficient reduced-order modeling approach for non-linear parametrized partial differential equations (Q3619763):
Displaying 50 items.
- Nonlinear model reduction for the Navier-Stokes equations using residual DEIM method (Q348884) (← links)
- The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows (Q401582) (← links)
- Improving the \( k\)-\textit{compressibility} of hyper reduced order models with moving sources: applications to welding and phase change problems (Q459316) (← links)
- Non-linear Petrov-Galerkin methods for reduced order modelling of the Navier-Stokes equations using a mixed finite element pair (Q465882) (← links)
- Gaussian functional regression for output prediction: model assimilation and experimental design (Q729481) (← links)
- Nonlinear model reduction for computational vibration analysis of structures with weak geometrical nonlinearity coupled with linear acoustic liquids in the presence of linear sloshing and capillarity (Q1647221) (← links)
- Reduced-order subscales for POD models (Q1734494) (← links)
- A model reduction technique based on the PGD for elastic-viscoplastic computational analysis (Q1933477) (← links)
- An LP empirical quadrature procedure for reduced basis treatment of parametrized nonlinear PDEs (Q1986754) (← links)
- A fully adaptive nonintrusive reduced-order modelling approach for parametrized time-dependent problems (Q2020779) (← links)
- Non-intrusive data-driven model reduction for differential-algebraic equations derived from lifting transformations (Q2072439) (← links)
- A greedy non-intrusive reduced order model for shallow water equations (Q2129263) (← links)
- An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation (Q2132633) (← links)
- Reduced order modelling for a rotor-stator cavity using proper orthogonal decomposition (Q2245198) (← links)
- A model-order reduction method based on wavelets and POD to solve nonlinear transient and steady-state continuation problems (Q2294922) (← links)
- Discontinuous Galerkin reduced basis empirical quadrature procedure for model reduction of parametrized nonlinear conservation laws (Q2305531) (← links)
- The reference point method, a ``hyperreduction'' technique: application to PGD-based nonlinear model reduction (Q2309931) (← links)
- A matrix DEIM technique for model reduction of nonlinear parametrized problems in cardiac mechanics (Q2309983) (← links)
- Model order reduction of nonlinear homogenization problems using a Hashin-Shtrikman type finite element method (Q2310200) (← links)
- Efficient model reduction of parametrized systems by matrix discrete empirical interpolation (Q2374878) (← links)
- An index-aware parametric model order reduction method for parameterized quadratic differential-algebraic equations (Q2422926) (← links)
- A domain decomposition strategy for reduced order models. Application to the incompressible Navier-Stokes equations (Q2450552) (← links)
- Non-intrusive reduced-order modeling for uncertainty quantification of space-time-dependent parameterized problems (Q2656003) (← links)
- Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance (Q2674110) (← links)
- Model reduction for the material point method via an implicit neural representation of the deformation map (Q2687512) (← links)
- Nonintrusive reduced-order modeling of parametrized time-dependent partial differential equations (Q2857467) (← links)
- Efficient non linear model reduction via a least-squares Petrov-Galerkin projection and compressive tensor approximations (Q2880241) (← links)
- Cost reduction techniques for the design of nonlinear flapping wing structures (Q2894828) (← links)
- Efficient nonlinear proper orthogonal decomposition/Galerkin reduced order models with stable penalty enforcement of boundary conditions (Q2895045) (← links)
- Dimensional reduction of nonlinear finite element dynamic models with finite rotations and energy-based mesh sampling and weighting for computational efficiency (Q2952487) (← links)
- Structure-preserving, stability, and accuracy properties of the energy-conserving sampling and weighting method for the hyper reduction of nonlinear finite element dynamic models (Q2952713) (← links)
- POD-based model reduction with empirical interpolation applied to nonlinear elasticity (Q2952957) (← links)
- Approximate optimal projection for reduced-order models (Q2968723) (← links)
- Hierarchical Tensor Approximation of Output Quantities of Parameter-Dependent PDEs (Q3452525) (← links)
- Nonlinear model reduction based on the finite element method with interpolated coefficients: Semilinear parabolic equations (Q3459237) (← links)
- Reduced-order modeling of parameterized PDEs using time-space-parameter principal component analysis (Q3649920) (← links)
- Stabilization of projection‐based reduced‐order models (Q4897991) (← links)
- SNS: A Solution-Based Nonlinear Subspace Method for Time-Dependent Model Order Reduction (Q5112544) (← links)
- Solving Parameter-Dependent Lyapunov Equations Using the Reduced Basis Method with Application to Parametric Model Order Reduction (Q5270417) (← links)
- Application of POD and DEIM on dimension reduction of non-linear miscible viscous fingering in porous media (Q5411552) (← links)
- A partial Padé-via-Lanczos method for reduced-order modeling (Q5946180) (← links)
- Efficient and certified solution of parametrized one-way coupled problems through DEIM-based data projection across non-conforming interfaces (Q6038827) (← links)
- Time‐varying piecewise nonlinear dynamic model of the vibrating machinery with elliptical trajectory consider the interactions between its frame and particles (Q6071432) (← links)
- Preconditioned least‐squares Petrov–Galerkin reduced order models (Q6071434) (← links)
- Efficient and accurate nonlinear model reduction via first-order empirical interpolation (Q6087928) (← links)
- Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool (Q6101638) (← links)
- A solution for reducing the degree of polynomial composition functions using Faà di Bruno's formula and Fourier transform (Q6133368) (← links)
- Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference (Q6175122) (← links)
- Residual-based error corrector operator to enhance accuracy and reliability of neural operator surrogates of nonlinear variational boundary-value problems (Q6185165) (← links)
- A discontinuous and adaptive reduced order model for the angular discretization of the Boltzmann transport equation (Q6554362) (← links)