Pages that link to "Item:Q5131990"
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The following pages link to Stability of Discrete Empirical Interpolation and Gappy Proper Orthogonal Decomposition with Randomized and Deterministic Sampling Points (Q5131990):
Displaying 27 items.
- Reduced-order modeling of nonlinear structural dynamical systems via element-wise stiffness evaluation procedure combined with hyper-reduction (Q2033650) (← links)
- An extended DEIM algorithm for subset selection and class identification (Q2051261) (← links)
- Stabilized reduced-order models for unsteady incompressible flows in three-dimensional parametrized domains (Q2084084) (← links)
- Model order reduction strategies for weakly dispersive waves (Q2104396) (← links)
- Model reduction for multi-scale transport problems using model-form preserving least-squares projections with variable transformation (Q2134527) (← links)
- Reduced order model of standard \(k\)-\(\epsilon\) turbulence model (Q2166593) (← links)
- Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data (Q2176917) (← links)
- A training set subsampling strategy for the reduced basis method (Q2666028) (← links)
- Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases (Q2683419) (← links)
- A new selection operator for the discrete empirical interpolation method -- improved a priori error bound and extensions (Q2790080) (← links)
- The Discrete Empirical Interpolation Method: Canonical Structure and Formulation in Weighted Inner Product Spaces (Q3176354) (← links)
- Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
- Efficient and accurate nonlinear model reduction via first-order empirical interpolation (Q6087928) (← links)
- Predictive reduced order modeling of chaotic multi-scale problems using adaptively sampled projections (Q6095092) (← links)
- Front transport reduction for complex moving fronts (Q6111405) (← links)
- Active Operator Inference for Learning Low-Dimensional Dynamical-System Models from Noisy Data (Q6113944) (← links)
- Energy-conserving hyper-reduction and temporal localization for reduced order models of the incompressible Navier-Stokes equations (Q6196594) (← links)
- An adaptive, training-free reduced-order model for convection-dominated problems based on hybrid snapshots (Q6574153) (← links)
- S-OPT: a points selection algorithm for hyper-reduction in reduced order models (Q6575346) (← links)
- Signal generator framework-based variation expansion-matching method for polynomial systems (Q6593759) (← links)
- Randomized greedy magic point selection schemes for nonlinear model reduction (Q6601294) (← links)
- Randomized GCUR decompositions (Q6614936) (← links)
- A registration method for reduced basis problems using linear optimal transport (Q6623722) (← links)
- The discrete empirical interpolation method in class identification and data summarization (Q6642752) (← links)
- Cross interpolation for solving high-dimensional dynamical systems on low-rank Tucker and tensor train manifolds (Q6643547) (← links)
- Sparse discrete empirical interpolation method: state estimation from few sensors (Q6649887) (← links)
- Collocation methods for nonlinear differential equations on low-rank manifolds (Q6650595) (← links)
