Sparse Grids and Applications - Munich 2012
Language: English
Published by Springer, 2014
Series: Book 71 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
- New
Condition: New
£ 114.91
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Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems. Whereas classical numerical discretization schemes fail in more than three or four dimensions, sparse grids make it possible to overcome the "curse" of dimensionality to some degree, extending the number of dimensions that can be dealt with. This volume of LNCSE collects the papers from the proceedings of the second workshop on sparse grids and applications, demonstrating once again the importance of this numerical discretization scheme. The selected articles present recent advances on the numerical analysis of sparse grids as well as efficient data structures, and the range of applications extends to uncertainty quantification settings and clustering, to name but a few examples. Sprache: Englisch Gewicht in Gramm: 642.
Seller Inventory # IB-369581
- Title
- Sparse Grids and Applications - Munich 2012
- Publisher
- Springer
- Publication year
- 2014
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 3319045369
- ISBN 13
- 9783319045368
- Item weight
- 642 grams
- Series
- Book 71 of 111: Lecture Notes in Computational Science and Engineering
Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems. Whereas classical numerical discretization schemes fail in more than three or four dimensions, sparse grids make it possible to overcome the “curse” of dimensionality to some degree, extending the number of dimensions that can be dealt with. This volume of LNCSE collects the papers from the proceedings of the second workshop on sparse grids and applications, demonstrating once again the importance of this numerical discretization scheme. The selected articles present recent advances on the numerical analysis of sparse grids as well as efficient data structures, and the range of applications extends to uncertainty quantification settings and clustering, to name but a few examples.
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