Pages that link to "Item:Q6359407"
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The following pages link to Reduced operator inference for nonlinear partial differential equations (Q6359407):
Displaying 12 items.
- Projection-based model reduction: formulations for physics-based machine learning (Q1739759) (← links)
- Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms (Q2021063) (← links)
- Data-driven learning of nonlocal physics from high-fidelity synthetic data (Q2021231) (← links)
- Projection-based model reduction of dynamical systems using space-time subspace and machine learning (Q2072456) (← links)
- Lift \& learn: physics-informed machine learning for large-scale nonlinear dynamical systems (Q2115511) (← links)
- Learning time-stepping by nonlinear dimensionality reduction to predict magnetization dynamics (Q2204477) (← links)
- Machine learning for fast and reliable solution of time-dependent differential equations (Q2222523) (← links)
- Data-driven operator inference for nonintrusive projection-based model reduction (Q2309194) (← links)
- Hamiltonian operator inference: physics-preserving learning of reduced-order models for canonical Hamiltonian systems (Q2670214) (← links)
- Operator inference and physics-informed learning of low-dimensional models for incompressible flows (Q2672189) (← links)
- Bayesian operator inference for data-driven reduced-order modeling (Q2679294) (← links)
- On linear models for discrete operator inference in time dependent problems (Q6157901) (← links)
