Hochschulschrift
Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems
- Alternative title
-
Fortschritliche Optimierungstechniken für Verfahren auf dünnen Gittern auf aktuellen, heterogenen Systemen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Diss., 2013
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2013
- Creator
-
Muraraşu, Alin Florindor
- Contributor
- URN
-
urn:nbn:de:bvb:91-diss-20130726-1137973-0-0
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:53 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.
Object type
- Hochschulschrift
Associated
- Muraraşu, Alin Florindor
- Bode, Arndt
- Bungartz, Hans-Joachim
- Universitätsbibliothek der TU München
Time of origin
- 2013
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Advanced optimization techniques for sparse grids on modern heterogeneous systems
Finite differences on sparse grids for continuous time heterogeneous agent models
Sparse grids and applications
Model order reduction of parametrized systems with sparse grid learning techniques
Model Order Reduction of Parametrized Systems with Sparse Grid Learning Techniques
Whitney elements on sparse grids
Whitney elements on sparse grids
Sampling inequalities for sparse grids
Manifold learning by sparse grid methods
Sparse grids for the Schrödinger equation
Principal manifold learning by sparse grids
Sparse grid datamining with huge datasets
Advanced optimization techniques for sparse grids on modern heterogeneous systems
Finite differences on sparse grids for continuous time heterogeneous agent models
Sparse grids and applications
Model order reduction of parametrized systems with sparse grid learning techniques
Model Order Reduction of Parametrized Systems with Sparse Grid Learning Techniques
Whitney elements on sparse grids
Whitney elements on sparse grids
Sampling inequalities for sparse grids
Manifold learning by sparse grid methods
Sparse grids for the Schrödinger equation
Principal manifold learning by sparse grids