Weighted tensor product algorithms for linear multivariate problems
DOI10.1006/jcom.1999.0512zbMath0939.65079OpenAlexW2041530119MaRDI QIDQ1961054
Grzegorz W. Wasilkowski, Henryk Woźniakowski
Publication date: 10 July 2000
Published in: Journal of Complexity (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/cfc4b904c951f72de0abf5567d17f72f66eee3f3
efficiencyapproximationHilbert spacesintegrationtractabilitypolynomial-time algorithmslinear multivariate problemsweighted tensor product algorithms
General theory of numerical analysis in abstract spaces (65J05) Algorithms for approximation of functions (65D15) Numerical quadrature and cubature formulas (65D32) Complexity and performance of numerical algorithms (65Y20)
Related Items (45)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- When are quasi-Monte Carlo algorithms efficient for high dimensional integrals?
- Tractability and strong tractability of linear multivariate problems
- Explicit cost bounds of algorithms for multivariate tensor product problems
- Tractability of tensor product linear operators
- On an interpolatory method for high dimensional integration
- High dimensional integration of smooth functions over cubes
- Theory of Reproducing Kernels
This page was built for publication: Weighted tensor product algorithms for linear multivariate problems