Pages that link to "Item:Q5113170"
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The following pages link to Constructing Least-Squares Polynomial Approximations (Q5113170):
Displaying 20 items.
- Reconciling alternate methods for the determination of charge distributions: a probabilistic approach to high-dimensional least-squares approximations (Q626481) (← links)
- On a near optimal sampling strategy for least squares polynomial regression (Q1674720) (← links)
- Computation of induced orthogonal polynomial distributions (Q1716848) (← links)
- Flow-driven spectral chaos (FSC) method for long-time integration of second-order stochastic dynamical systems (Q2043180) (← links)
- A multi-fidelity polynomial chaos-greedy Kaczmarz approach for resource-efficient uncertainty quantification on limited budget (Q2072434) (← links)
- A multi-element non-intrusive polynomial chaos method using agglomerative clustering based on the derivatives to study irregular and discontinuous quantities of interest (Q2106992) (← links)
- Optimal design for kernel interpolation: applications to uncertainty quantification (Q2124880) (← links)
- Stochastic gradient descent for semilinear elliptic equations with uncertainties (Q2127008) (← links)
- Normalizing field flows: solving forward and inverse stochastic differential equations using physics-informed flow models (Q2138012) (← links)
- A stochastic Galerkin method with adaptive time-stepping for the Navier-Stokes equations (Q2168285) (← links)
- Non-intrusive framework of reduced-order modeling based on proper orthogonal decomposition and polynomial chaos expansion (Q2226314) (← links)
- An interpolatory view of polynomial least squares approximation (Q2297374) (← links)
- A Christoffel function weighted least squares algorithm for collocation approximations (Q2970106) (← links)
- Sparse Online Variational Bayesian Regression (Q5052896) (← links)
- A Normalizing Field Flow Induced Two-Stage Stochastic Homogenization Method for Random Composite Materials (Q6142999) (← links)
- Bi-Orthogonal fPINN: A Physics-Informed Neural Network Method for Solving Time-Dependent Stochastic Fractional PDEs (Q6143622) (← links)
- Level Set Learning with Pseudoreversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation (Q6155903) (← links)
- An adaptive ANOVA stochastic Galerkin method for partial differential equations with high-dimensional random inputs (Q6178632) (← links)
- A non-Gaussian Bayesian filter for sequential data assimilation with non-intrusive polynomial chaos expansion (Q6554054) (← links)
- S-OPT: a points selection algorithm for hyper-reduction in reduced order models (Q6575346) (← links)
