Login

Garcke, Jochen

Sparse Grids and Applications - Stuttgart 2014

Garcke, Jochen - Sparse Grids and Applications - Stuttgart 2014, ebook

133,75€

Ebook, PDF with Adobe DRM
ISBN: 9783319282626
DRM Restrictions

PrintingNot allowed
Copy to clipboardNot allowed

Table of contents

1. Adaptive Sparse Grid Model Order Reduction for Fast Bayesian Estimation and Inversion
Peng Chen, Christoph Schwab

2. From Data to Uncertainty: An Efficient Integrated Data-Driven Sparse Grid Approach to Propagate Uncertainty
Fabian Franzelin, Dirk Pflüger

3. Combination Technique Based Second Moment Analysis for Elliptic PDEs on Random Domains
Helmut Harbrecht, Michael Peters

4. Adaptive Sparse Grids and Extrapolation Techniques
Brendan Harding

5. A Cache-Optimal Alternative to the Unidirectional Hierarchization Algorithm
Philipp Hupp, Riko Jacob

6. Spatially-Dimension-Adaptive Sparse Grids for Online Learning
Valeriy Khakhutskyy, Markus Hegland

7. Sparse Grids for the Vlasov–Poisson Equation
Katharina Kormann, Eric Sonnendrücker

8. An Adaptive Sparse Grid Algorithm for Elliptic PDEs with Lognormal Diffusion Coefficient
Fabio Nobile, Lorenzo Tamellini, Francesco Tesei, Raúl Tempone

9. A New Subspace-Based Algorithm for Efficient Spatially Adaptive Sparse Grid Regression, Classification and Multi-evaluation
David Pfander, Alexander Heinecke, Dirk Pflüger

10. High-Dimensional Stochastic Design Optimization by Adaptive-Sparse Polynomial Dimensional Decomposition
Sharif Rahman, Xuchun Ren, Vaibhav Yadav

11. Efficient Spectral-Element Methods for the Electronic Schrödinger Equation
Jie Shen, Yingwei Wang, Haijun Yu

12. A Sparse Grid Method for Bayesian Uncertainty Quantification with Application to Large Eddy Simulation Turbulence Models
Hoang Tran, Clayton G. Webster, Guannan Zhang

13. Hierarchical Gradient-Based Optimization with B-Splines on Sparse Grids
Julian Valentin, Dirk Pflüger

Keywords: Mathematics, Computational Science and Engineering, Algorithm Analysis and Problem Complexity

Editor
 
Publisher
Springer
Publication year
2016
Language
en
Edition
1st ed. 2016
Series
Lecture Notes in Computational Science and Engineering
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783319282626
Printed ISBN
978-3-319-28260-2

Similar titles