- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: https://doi.org/10.1007/s00211-016-0845-7
In: Bonn : Institut für Numerische Simulation (INS), 2015
- Bibliographic citation
-
INS Preprints ; 1609
- Event
-
Veröffentlichung
- (where)
-
Bonn
- (who)
-
Universitäts- und Landesbibliothek Bonn
- (when)
-
2015
- Creator
-
Rieger, Christian
Wendland, Holger
- Handle
-
20.500.11811/11853
- URN
-
urn:nbn:de:101:1-2409050301152.072897526661
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:37 AM CEST
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.
Associated
- Rieger, Christian
- Wendland, Holger
- Universitäts- und Landesbibliothek Bonn
Time of origin
- 2015
Other Objects (12)
Sampling inequalities for anisotropic tensor product grids
Sparse sampling for scatterer localisation
Sparse grids for the Schrödinger equation
Sparse grids and applications
Iterative Sparse FFT for M‐sparse Vectors: Deterministic versus Random Sampling
Optimal scaling parameters for sparse grid discretizations
Transformed sparse grids for high-dimensional models
Sparse grid methods for higher dimensional approximation
Mixed-precision data mining for sparse grids
Whitney elements on sparse grids
Whitney elements on sparse grids
Sampling inequalities and applications
Sampling inequalities for anisotropic tensor product grids
Sparse sampling for scatterer localisation
Sparse grids for the Schrödinger equation
Sparse grids and applications
Iterative Sparse FFT for M‐sparse Vectors: Deterministic versus Random Sampling
Optimal scaling parameters for sparse grid discretizations
Transformed sparse grids for high-dimensional models
Sparse grid methods for higher dimensional approximation
Mixed-precision data mining for sparse grids
Whitney elements on sparse grids
Whitney elements on sparse grids
Sampling inequalities and applications
Sampling inequalities for anisotropic tensor product grids
Sparse sampling for scatterer localisation
Sparse grids for the Schrödinger equation
Sparse grids and applications
Iterative Sparse FFT for M‐sparse Vectors: Deterministic versus Random Sampling
Optimal scaling parameters for sparse grid discretizations
Transformed sparse grids for high-dimensional models
Sparse grid methods for higher dimensional approximation
Mixed-precision data mining for sparse grids
Whitney elements on sparse grids
Whitney elements on sparse grids