Average sampling numbers of multivariate periodic function spaces with a Gaussian measure
From MaRDI portal
Publication:306689
DOI10.1016/J.JCO.2016.04.003zbMath1347.41003OpenAlexW2344262842MaRDI QIDQ306689
Publication date: 1 September 2016
Published in: Journal of Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jco.2016.04.003
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Approximation of multivariate periodic functions on the space with a Gaussian measure
- Probabilistic and average widths of multivariate Sobolev spaces with mixed derivative equipped with the Gaussian measure
- Approximation of functions on the Sobolev space with a Gaussian measure
- Best approximation of functions on the ball on the weighted Sobolev space equipped with a Gaussian measure
- Gaussian measures in Banach spaces
- Linear widths of function spaces equipped with the Gaussian measure
- \(\mu\)-average \(n\)-widths on the Wiener space
- Average error bounds of best approximation of continuous functions on the Wiener space
- Probabilistic and average linear widths of Sobolev space with Gaussian measure
- Average-case analysis of numerical problems
- Linear widths of a multivariate function space equipped with a Gaussian measure
- Probabilistic and average linear widths of Sobolev space with Gaussian measure in \(L_\infty\)-norm
- Probabilistic and average linear width in \(L_ \infty\)-norm with respect to \(r\)-fold Wiener measure
- About widths of Wiener space in the \(L_ q\)-norm
- Sampling numbers of periodic Sobolev spaces with a Gaussian measure in the average case setting
- Lattice rule algorithms for multivariate approximation in the average case setting
- Optimal Recovery of Functions on the Sphere on a Sobolev Spaces with a Gaussian Measure in the Average Case Setting
- On the power of function values for the approximation problem in various settings
This page was built for publication: Average sampling numbers of multivariate periodic function spaces with a Gaussian measure