Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016
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Published By Springer International Publishing

9783319754253, 9783319754260

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On the Convergence Rate of Sparse Grid Least Squares Regression

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_2 ◽

2018 ◽

pp. 19-41 ◽

Cited By ~ 1

Author(s):

Bastian Bohn

Keyword(s):

Convergence Rate ◽

Least Squares ◽

Sparse Grid ◽

Least Squares Regression

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Fundamental Splines on Sparse Grids and Their Application to Gradient-Based Optimization

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_10 ◽

2018 ◽

pp. 229-251 ◽

Cited By ~ 1

Author(s):

Julian Valentin ◽

Dirk Pflüger

Keyword(s):

Sparse Grids ◽

Gradient Based

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Multilevel Adaptive Stochastic Collocation with Dimensionality Reduction

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_3 ◽

2018 ◽

pp. 43-68 ◽

Cited By ~ 1

Author(s):

Ionuţ-Gabriel Farcaş ◽

Paul Cristian Sârbu ◽

Hans-Joachim Bungartz ◽

Tobias Neckel ◽

Benjamin Uekermann

Keyword(s):

Dimensionality Reduction ◽

Stochastic Collocation

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Solving Dynamic Portfolio Choice Models in Discrete Time Using Spatially Adaptive Sparse Grids

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_7 ◽

2018 ◽

pp. 135-173 ◽

Cited By ~ 3

Author(s):

Peter Schober

Keyword(s):

Portfolio Choice ◽

Discrete Time ◽

Choice Models ◽

Sparse Grids ◽

Spatially Adaptive ◽

Dynamic Portfolio ◽

Dynamic Portfolio Choice

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Sparse Grid Quadrature Rules Based on Conformal Mappings

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_6 ◽

2018 ◽

pp. 117-134

Author(s):

P. Jantsch ◽

C. G. Webster

Keyword(s):

Conformal Mappings ◽

Sparse Grid ◽

Quadrature Rules ◽

Sparse Grid Quadrature

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Limiting Ranges of Function Values of Sparse Grid Surrogates

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_4 ◽

2018 ◽

pp. 69-91

Author(s):

Fabian Franzelin ◽

Dirk Pflüger

Keyword(s):

Sparse Grid

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Scalable Algorithmic Detection of Silent Data Corruption for High-Dimensional PDEs

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_5 ◽

2018 ◽

pp. 93-115

Author(s):

Alfredo Parra Hinojosa ◽

Hans-Joachim Bungartz ◽

Dirk Pflüger

Keyword(s):

High Dimensional ◽

Data Corruption

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Smolyak’s Algorithm: A Powerful Black Box for the Acceleration of Scientific Computations

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_9 ◽

2018 ◽

pp. 201-228

Author(s):

Raúl Tempone ◽

Sören Wolfers

Keyword(s):

Black Box ◽

Scientific Computations ◽

Smolyak's Algorithm

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Comparing Nested Sequences of Leja and PseudoGauss Points to Interpolate in 1D and Solve the Schroedinger Equation in 9D

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_1 ◽

2018 ◽

pp. 1-17 ◽

Cited By ~ 1

Author(s):

Gustavo Avila ◽

Jens Oettershagen ◽

Tucker Carrington

Keyword(s):

Schroedinger Equation

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Adaptive Sparse Grid Construction in a Context of Local Anisotropy and Multiple Hierarchical Parents

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016 ◽

10.1007/978-3-319-75426-0_8 ◽

2018 ◽

pp. 175-199

Author(s):

Miroslav Stoyanov

Keyword(s):

Sparse Grid ◽

Local Anisotropy ◽

Grid Construction

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Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

On the Convergence Rate of Sparse Grid Least Squares Regression

Fundamental Splines on Sparse Grids and Their Application to Gradient-Based Optimization

Multilevel Adaptive Stochastic Collocation with Dimensionality Reduction

Solving Dynamic Portfolio Choice Models in Discrete Time Using Spatially Adaptive Sparse Grids

Sparse Grid Quadrature Rules Based on Conformal Mappings

Limiting Ranges of Function Values of Sparse Grid Surrogates

Scalable Algorithmic Detection of Silent Data Corruption for High-Dimensional PDEs

Smolyak’s Algorithm: A Powerful Black Box for the Acceleration of Scientific Computations

Comparing Nested Sequences of Leja and PseudoGauss Points to Interpolate in 1D and Solve the Schroedinger Equation in 9D

Adaptive Sparse Grid Construction in a Context of Local Anisotropy and Multiple Hierarchical Parents

Lecture Notes in Computational Science and Engineering - Sparse Grids and Applications - Miami 2016
Latest Publications