Pages that link to "Item:Q1691401"
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The following pages link to Offline-enhanced reduced basis method through adaptive construction of the surrogate training set (Q1691401):
Displaying 14 items.
- Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction (Q725460) (← links)
- Implicit partitioning methods for unknown parameter sets. In the context of the reduced basis method (Q904245) (← links)
- Reduced basis' acquisition by a learning process for rapid on-line approximation of solution to PDE's: laminar flow past a backstep (Q1639597) (← links)
- An adaptive domain-based POD/ECM hyper-reduced modeling framework without offline training (Q1989121) (← links)
- Certified offline-free reduced basis (COFRB) methods for stochastic differential equations driven by arbitrary types of noise (Q2291860) (← links)
- Reduced basis methods with adaptive snapshot computations (Q2400481) (← links)
- A training set subsampling strategy for the reduced basis method (Q2666028) (← links)
- An adaptive and efficient greedy procedure for the optimal training of parametric reduced-order models (Q2952722) (← links)
- Reduced Basis Greedy Selection Using Random Training Sets (Q3304879) (← links)
- An Adaptive Sampling Approach for the Reduced Basis Method (Q5049228) (← links)
- A Reduced Basis Method for the Nonlinear Poisson-Boltzmann Equation (Q5156702) (← links)
- A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs (Q6097873) (← links)
- Adaptive greedy algorithms based on parameter-domain decomposition and reconstruction for the reduced basis method (Q6554352) (← links)
- A discontinuous Galerkin method based on POD model reduction for Euler equation (Q6572220) (← links)
