Pages that link to "Item:Q4967355"
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The following pages link to Optimal weighted least-squares methods (Q4967355):
Displaying 36 items.
- Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (Q4995117) (← links)
- Sequential Sampling for Optimal Weighted Least Squares Approximations in Hierarchical Spaces (Q5025780) (← links)
- Convergence bounds for empirical nonlinear least-squares (Q5034774) (← links)
- Near-Optimal Sampling Strategies for Multivariate Function Approximation on General Domains (Q5037568) (← links)
- Boosted optimal weighted least-squares (Q5070542) (← links)
- Semi-Infinite Linear Regression and Its Applications (Q5071432) (← links)
- A Note on Sampling Recovery of Multivariate Functions in the Uniform Norm (Q5087102) (← links)
- Multilevel weighted least squares polynomial approximation (Q5110276) (← links)
- APPROXIMATING SMOOTH, MULTIVARIATE FUNCTIONS ON IRREGULAR DOMAINS (Q5112008) (← links)
- Constructing Least-Squares Polynomial Approximations (Q5113170) (← links)
- On the stability and accuracy of the empirical interpolation method and gravitational wave surrogates (Q5163390) (← links)
- Adaptive Approximation by Optimal Weighted Least-Squares Methods (Q5233118) (← links)
- Approximative Policy Iteration for Exit Time Feedback Control Problems Driven by Stochastic Differential Equations using Tensor Train Format (Q5865245) (← links)
- An Adaptive Sampling and Domain Learning Strategy for Multivariate Function Approximation on Unknown Domains (Q5886856) (← links)
- Near-optimal approximation methods for elliptic PDEs with lognormal coefficients (Q5886870) (← links)
- Randomized numerical linear algebra: Foundations and algorithms (Q5887823) (← links)
- Constructive subsampling of finite frames with applications in optimal function recovery (Q6038824) (← links)
- Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs (Q6039259) (← links)
- Error guarantees for least squares approximation with noisy samples in domain adaptation (Q6071903) (← links)
- Random points are good for universal discretization (Q6074492) (← links)
- Multifidelity uncertainty quantification with models based on dissimilar parameters (Q6096437) (← links)
- A probabilistic reduced basis method for parameter-dependent problems (Q6126536) (← links)
- On the reconstruction of functions from values at subsampled quadrature points (Q6140848) (← links)
- Stable approximation of Helmholtz solutions in the disk by evanescent plane waves (Q6141035) (← links)
- A Stieltjes Algorithm for Generating Multivariate Orthogonal Polynomials (Q6155902) (← links)
- Fast hyperbolic wavelet regression meets ANOVA (Q6165230) (← links)
- On the power of standard information for tractability for \(L_{\infty}\) approximation of periodic functions in the worst case setting (Q6189713) (← links)
- Physics-informed polynomial chaos expansions (Q6498467) (← links)
- Variable transformations in combination with wavelets and ANOVA for high-dimensional approximation (Q6561375) (← links)
- Randomized least-squares with minimal oversampling and interpolation in general spaces (Q6573780) (← links)
- Operator learning using random features: a tool for scientific computing (Q6585281) (← links)
- SeAr PC: sensitivity enhanced arbitrary polynomial chaos (Q6609782) (← links)
- One-sided discretization inequalities and sampling recovery (Q6639450) (← links)
- Sample complexity bounds for the local convergence of least squares approximation (Q6649924) (← links)
- Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables (Q6657194) (← links)
- Numerical realization of the Mortensen observer via a Hessian-augmented polynomial approximation of the value function (Q6663236) (← links)
