Monografie
Multivariate Approximation and High-Dimensional Sparse FFT Based on Rank-1 Lattice Sampling
- Language
-
Englisch
- Identifier
-
1214377459
Subject
Multivariate Approximation; Schnelle Fourier-Transformation; Diskrete Fourier-Transformation; DCT; Hochschulschrift
Contributor
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
26.01.2023, 1:53 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Monografie
Associated
- Volkmer, Toni
- Potts, Daniel
- Potts, Daniel
- Plonka-Hoch, Gerlind
- Pflüger, Dirk
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Spatially adaptive sparse grids for high-dimensional problems
Practical lattice basis sampling reduction
Statistical approximation of high-dimensional climate models
L1-Penalised quantile regression in high-dimensional sparse models
Sparse and robust classification methods for high-dimensional datasets
Efficient high-dimensional importance sampling in mixture frameworks
Sparse grid methods for higher dimensional approximation
Application of AAK theory for sparse approximation
Multivariate Approximation and high-dimensional sparse FFT based on rank-1 lattice sampling
Sparse sampling for scatterer localisation
Solving high-dimensional PDEs, approximation of path space measures and importance sampling of diffusions
Inference for high-dimensional sparse econometric models
Spatially adaptive sparse grids for high-dimensional problems
Practical lattice basis sampling reduction
Statistical approximation of high-dimensional climate models
L1-Penalised quantile regression in high-dimensional sparse models
Sparse and robust classification methods for high-dimensional datasets
Efficient high-dimensional importance sampling in mixture frameworks
Sparse grid methods for higher dimensional approximation
Application of AAK theory for sparse approximation
Multivariate Approximation and high-dimensional sparse FFT based on rank-1 lattice sampling
Sparse sampling for scatterer localisation
Solving high-dimensional PDEs, approximation of path space measures and importance sampling of diffusions
Inference for high-dimensional sparse econometric models
Spatially adaptive sparse grids for high-dimensional problems
Practical lattice basis sampling reduction
Statistical approximation of high-dimensional climate models
L1-Penalised quantile regression in high-dimensional sparse models
Sparse and robust classification methods for high-dimensional datasets
Efficient high-dimensional importance sampling in mixture frameworks
Sparse grid methods for higher dimensional approximation