Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications
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Published By Springer Berlin Heidelberg

9783642317026, 9783642317033

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The Combination Technique for the Initial Value Problem in Linear Gyrokinetics

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_10 ◽

2012 ◽

pp. 205-222 ◽

Cited By ~ 9

Author(s):

Christoph Kowitz ◽

Dirk Pflüger ◽

Frank Jenko ◽

Markus Hegland

Keyword(s):

Initial Value Problem ◽

Initial Value ◽

Combination Technique

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Sparse Grids in a Nutshell

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_3 ◽

2012 ◽

pp. 57-80 ◽

Cited By ~ 10

Author(s):

Jochen Garcke

Keyword(s):

Sparse Grids

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An Adaptive Sparse Grid Approach for Time Series Prediction

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_1 ◽

2012 ◽

pp. 1-30 ◽

Cited By ~ 3

Author(s):

Bastian Bohn ◽

Michael Griebel

Keyword(s):

Time Series ◽

Time Series Prediction ◽

Sparse Grid ◽

Grid Approach

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The Use of Sparse Grid Approximation for the r-Term Tensor Representation

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_7 ◽

2012 ◽

pp. 151-159

Author(s):

Wolfgang Hackbusch

Keyword(s):

Sparse Grid ◽

Tensor Representation ◽

Grid Approximation

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Spatially Adaptive Refinement

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_12 ◽

2012 ◽

pp. 243-262 ◽

Cited By ~ 9

Author(s):

Dirk Pflüger

Keyword(s):

Adaptive Refinement ◽

Spatially Adaptive

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Efficient Analysis of High Dimensional Data in Tensor Formats

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_2 ◽

2012 ◽

pp. 31-56 ◽

Cited By ~ 13

Author(s):

Mike Espig ◽

Wolfgang Hackbusch ◽

Alexander Litvinenko ◽

Hermann G. Matthies ◽

Elmar Zander

Keyword(s):

High Dimensional Data ◽

High Dimensional

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Dimension- and Time-Adaptive Multilevel Monte Carlo Methods

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_5 ◽

2012 ◽

pp. 107-120 ◽

Cited By ~ 2

Author(s):

Thomas Gerstner ◽

Stefan Heinz

Keyword(s):

Monte Carlo ◽

Monte Carlo Methods ◽

Multilevel Monte Carlo

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Asymptotic Expansion Around Principal Components and the Complexity of Dimension Adaptive Algorithms

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_13 ◽

2012 ◽

pp. 263-276 ◽

Cited By ~ 1

Author(s):

Christoph Reisinger

Keyword(s):

Asymptotic Expansion ◽

Principal Components ◽

Adaptive Algorithms

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Local and Dimension Adaptive Stochastic Collocation for Uncertainty Quantification

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_9 ◽

2012 ◽

pp. 181-203 ◽

Cited By ~ 5

Author(s):

John D. Jakeman ◽

Stephen G. Roberts

Keyword(s):

Uncertainty Quantification ◽

Stochastic Collocation

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On Multilevel Quadrature for Elliptic Stochastic Partial Differential Equations

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications ◽

10.1007/978-3-642-31703-3_8 ◽

2012 ◽

pp. 161-179 ◽

Cited By ~ 10

Author(s):

Helmut Harbrecht ◽

Michael Peters ◽

Markus Siebenmorgen

Keyword(s):

Partial Differential Equations ◽

Differential Equations ◽

Stochastic Partial Differential Equations ◽

Partial Differential

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Lecture Notes in Computational Science and Engineering - Sparse Grids and ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

The Combination Technique for the Initial Value Problem in Linear Gyrokinetics

Sparse Grids in a Nutshell

An Adaptive Sparse Grid Approach for Time Series Prediction

The Use of Sparse Grid Approximation for the r-Term Tensor Representation

Spatially Adaptive Refinement

Efficient Analysis of High Dimensional Data in Tensor Formats

Dimension- and Time-Adaptive Multilevel Monte Carlo Methods

Asymptotic Expansion Around Principal Components and the Complexity of Dimension Adaptive Algorithms

Local and Dimension Adaptive Stochastic Collocation for Uncertainty Quantification

On Multilevel Quadrature for Elliptic Stochastic Partial Differential Equations

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications
Latest Publications