Pages that link to "Item:Q703765"
From MaRDI portal
The following pages link to A priori hyperreduction method: an adaptive approach (Q703765):
Displaying 50 items.
- Datadriven HOPGD based computational vademecum for welding parameter identification (Q1999553) (← links)
- An automatic Krylov subspaces recycling technique for the construction of a global solution basis of non-affine parametric linear systems (Q2020828) (← links)
- Adaptive hyper reduction for additive manufacturing thermal fluid analysis (Q2020898) (← links)
- A general hyper-reduction strategy for finite element structures with nonlinear surface loads based on the calculus of variations and stress modes (Q2021896) (← links)
- Goal-oriented model reduction for parametrized time-dependent nonlinear partial differential equations (Q2060100) (← links)
- Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning (Q2127404) (← links)
- An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation (Q2132633) (← links)
- Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases (Q2139039) (← links)
- Efficient hyperreduction of high-order discontinuous Galerkin methods: element-wise and point-wise reduced quadrature formulations (Q2157120) (← links)
- A hyper-reduced MAC scheme for the parametric Stokes and Navier-Stokes equations (Q2157141) (← links)
- Krylov subspaces recycling based model order reduction for acoustic BEM systems and an error estimator (Q2175106) (← links)
- Acceleration of the spectral stochastic FEM using POD and element based discrete empirical approximation for a micromechanical model of heterogeneous materials with random geometry (Q2175253) (← links)
- A nonlinear reduced order model with parametrized shape defects (Q2175315) (← links)
- Online adaptive basis refinement and compression for reduced-order models via vector-space sieving (Q2180452) (← links)
- Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset (Q2209715) (← links)
- A hyper-reduction method using adaptivity to cut the assembly costs of reduced order models (Q2236908) (← links)
- Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction (Q2237492) (← links)
- An efficient `a priori' model reduction for boundary element models (Q2269280) (← links)
- Some applications of compressed sensing in computational mechanics: model order reduction, manifold learning, data-driven applications and nonlinear dimensionality reduction (Q2281470) (← 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)
- A lean and efficient snapshot generation technique for the hyper-reduction of nonlinear structural dynamics (Q2310022) (← links)
- Global-local ROM for the solution of parabolic problems with highly concentrated moving sources (Q2310089) (← links)
- Model order reduction of nonlinear homogenization problems using a Hashin-Shtrikman type finite element method (Q2310200) (← links)
- Tensor representation of non-linear models using cross approximations (Q2333682) (← links)
- Conservative model reduction for finite-volume models (Q2425270) (← links)
- A domain decomposition strategy for reduced order models. Application to the incompressible Navier-Stokes equations (Q2450552) (← links)
- On the a priori model reduction: overview and recent developments (Q2505283) (← links)
- Efficient two-scale simulations of engineering structures using the Hashin-Shtrikman type finite element method (Q2665026) (← links)
- Enhanced model-order reduction approach via online adaptation for parametrized nonlinear structural problems (Q2665037) (← links)
- Microstructure-informed reduced modes synthesized with Wang tiles and the generalized finite element method (Q2666093) (← links)
- A pruning algorithm preserving modeling capabilities for polycrystalline data (Q2667331) (← links)
- Model reduction on 3D fracture resistance design (Q2671390) (← links)
- Quadratic approximation manifold for mitigating the Kolmogorov barrier in nonlinear projection-based model order reduction (Q2672789) (← links)
- Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance (Q2674110) (← links)
- Reprint of: Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance (Q2679338) (← links)
- Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases (Q2683419) (← links)
- Model reduction for the material point method via an implicit neural representation of the deformation map (Q2687512) (← links)
- An algorithm for the computation of multiple Hopf bifurcation points based on Padé approximants (Q2884026) (← links)
- Local/global model order reduction strategy for the simulation of quasi-brittle fracture (Q2894890) (← links)
- The ROMES Method for Statistical Modeling of Reduced-Order-Model Error (Q2945141) (← links)
- Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates (Q2947046) (← links)
- High resolution digital image correlation using proper generalized decomposition: PGD-DIC (Q2952116) (← links)
- Nonlinear model order reduction based on local reduced-order bases (Q2952135) (← links)
- Model order reduction in hyperelasticity: a proper generalized decomposition approach (Q2952355) (← 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)
- Progressive construction of a parametric reduced‐order model for PDE‐constrained optimization (Q2952714) (← links)
- Adaptive<i>h</i>-refinement for reduced-order models (Q2952718) (← links)
- Projection‐based model reduction for contact problems (Q2952907) (← links)