Pages that link to "Item:Q2310912"
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The following pages link to An efficient multifidelity \(\ell_1\)-minimization method for sparse polynomial chaos (Q2310912):
Displaying 21 items.
- A weighted \(\ell_1\)-minimization approach for sparse polynomial chaos expansions (Q349012) (← links)
- A hybrid approach combining DNS and RANS simulations to quantify uncertainties in turbulence modelling (Q822137) (← links)
- Efficient uncertainty quantification of stochastic CFD problems using sparse polynomial chaos and compressed sensing (Q1648406) (← links)
- A non-intrusive B-splines Bézier elements-based method for uncertainty propagation (Q1986828) (← links)
- An efficient adaptive forward-backward selection method for sparse polynomial chaos expansion (Q1988232) (← links)
- A generalized multi-fidelity simulation method using sparse polynomial chaos expansion (Q2033075) (← links)
- A multi-fidelity polynomial chaos-greedy Kaczmarz approach for resource-efficient uncertainty quantification on limited budget (Q2072434) (← links)
- Efficient aerodynamic analysis and optimization under uncertainty using multi-fidelity polynomial chaos-Kriging surrogate model (Q2084108) (← links)
- Probabilistic CFD analysis on the flow field and performance of the FDA centrifugal blood pump (Q2109726) (← links)
- Efficient uncertainty quantification of stochastic problems in CFD by combination of compressed sensing and POD-kriging (Q2156798) (← links)
- Multi-level multi-fidelity sparse polynomial chaos expansion based on Gaussian process regression (Q2174145) (← links)
- Stochastic field representation using bi-fidelity combination of proper orthogonal decomposition and kriging (Q2179204) (← links)
- PLS-based adaptation for efficient PCE representation in high dimensions (Q2220565) (← links)
- Efficient uncertainty quantification of CFD problems by combination of proper orthogonal decomposition and compressed sensing (Q2243373) (← links)
- A hybrid sequential sampling strategy for sparse polynomial chaos expansion based on compressive sampling and Bayesian experimental design (Q2246331) (← links)
- On polynomial chaos expansion via gradient-enhanced \(\ell_1\)-minimization (Q2375016) (← links)
- Multi-fidelity non-intrusive polynomial chaos based on regression (Q2419306) (← links)
- Spectral representation of stochastic field data using sparse polynomial chaos expansions (Q2424508) (← links)
- A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems (Q2672767) (← links)
- Sparse Recovery via <i>ℓ<sub>q</sub></i>-Minimization for Polynomial Chaos Expansions (Q3176044) (← links)
- Active learning polynomial chaos expansion for reliability analysis by maximizing expected indicator function prediction error (Q6553474) (← links)
