Hochschulschrift
The ANOVA decomposition and generalized sparse grid methods for the high-dimensional backward Kolmogorov equation
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Diss., 2015
- Klassifikation
-
Mathematik
- Ereignis
-
Veröffentlichung
- (wo)
-
Bonn
- (wer)
-
Universitäts- und Landesbibliothek Bonn
- (wann)
-
2015
- Urheber
-
Hullmann, Alexander
- URN
-
urn:nbn:de:hbz:5n-39076
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Hullmann, Alexander
- Universitäts- und Landesbibliothek Bonn
Entstanden
- 2015
Ähnliche Objekte (12)
Symmetries of Kolmogorov Backward Equation
Kolmogorov Backward Equations with Singular Diffusion Matrices
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering
Inference for high-dimensional sparse econometric models
Transformed sparse grids for high-dimensional models
Sparse High-dimensional Approximation from Highly Noisy Data
Spatially adaptive sparse grids for high-dimensional problems
Radar target classification via sparse decomposition
Sparse and robust classification methods for high-dimensional datasets
L1-Penalised quantile regression in high-dimensional sparse models
Federated singular value decomposition for high-dimensional data
The sparse cardinal sine decomposition and applications
Symmetries of Kolmogorov Backward Equation
Kolmogorov Backward Equations with Singular Diffusion Matrices
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering
Inference for high-dimensional sparse econometric models
Transformed sparse grids for high-dimensional models
Sparse High-dimensional Approximation from Highly Noisy Data
Spatially adaptive sparse grids for high-dimensional problems
Radar target classification via sparse decomposition
Sparse and robust classification methods for high-dimensional datasets
L1-Penalised quantile regression in high-dimensional sparse models
Federated singular value decomposition for high-dimensional data
The sparse cardinal sine decomposition and applications
Symmetries of Kolmogorov Backward Equation
Kolmogorov Backward Equations with Singular Diffusion Matrices
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering
Inference for high-dimensional sparse econometric models
Transformed sparse grids for high-dimensional models
Sparse High-dimensional Approximation from Highly Noisy Data
Spatially adaptive sparse grids for high-dimensional problems
Radar target classification via sparse decomposition
Sparse and robust classification methods for high-dimensional datasets
L1-Penalised quantile regression in high-dimensional sparse models
Federated singular value decomposition for high-dimensional data