Pages that link to "Item:Q679625"
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The following pages link to Dimensionality reduction of parameter-dependent problems through proper orthogonal decomposition (Q679625):
Displaying 12 items.
- Computational reduction for parametrized PDEs: strategies and applications (Q1932780) (← links)
- Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (Q2060092) (← links)
- Feasibility of DEIM for retrieving the initial field via dimensionality reduction (Q2120024) (← links)
- Data-driven model order reduction for problems with parameter-dependent jump-discontinuities (Q2246398) (← links)
- Learning high-dimensional parametric maps via reduced basis adaptive residual networks (Q2679335) (← links)
- Reduced-order modeling of parameterized PDEs using time-space-parameter principal component analysis (Q3649920) (← links)
- Long‐time behavior of the proper orthogonal decomposition method (Q4924935) (← links)
- An Adaptive Way of Choosing Significant Snapshots for Proper Orthogonal Decomposition (Q4973304) (← links)
- Space-time registration-based model reduction of parameterized one-dimensional hyperbolic PDEs (Q5006302) (← links)
- Residual-based error correction for neural operator accelerated Infinite-dimensional Bayesian inverse problems (Q6147083) (← links)
- Large-scale Bayesian optimal experimental design with derivative-informed projected neural network (Q6159007) (← links)
- GFN: a graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications (Q6643617) (← links)
