Multifidelity Sparse-Grid-Based Uncertainty Quantification for the Hokkaido Nansei-oki Tsunami

Pure and Applied Geophysics ◽

10.1007/s00024-017-1606-y ◽

2017 ◽

Vol 174 (8) ◽

pp. 3107-3121 ◽

Author(s):

Jouke H. S. de Baar ◽

Stephen G. Roberts

Keyword(s):

Uncertainty Quantification ◽

Sparse Grid ◽

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An adaptive sparse grid rational Arnoldi method for uncertainty quantification of dynamical systems in the frequency domain

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.6761 ◽

2021 ◽

Author(s):

U. Römer ◽

M. Bollhöfer ◽

H. K. Sreekumar ◽

C. Blech ◽

S. C. Langer

Keyword(s):

Dynamical Systems ◽

Uncertainty Quantification ◽

Frequency Domain ◽

Sparse Grid ◽

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Sparse grid-based adaptive noise reduction strategy for particle-in-cell schemes

Journal of Computational Physics X ◽

10.1016/j.jcpx.2021.100094 ◽

2021 ◽

pp. 100094

Author(s):

Sriramkrishnan Muralikrishnan ◽

Antoine J. Cerfon ◽

Matthias Frey ◽

Lee F. Ricketson ◽

Andreas Adelmann

Keyword(s):

Noise Reduction ◽

Sparse Grid ◽

Reduction Strategy ◽

Particle In Cell ◽

Adaptive Noise ◽

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Adaptive sparse grid based HOPGD: Toward a nonintrusive strategy for constructing space-time weldingcomputational vademecum

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.5793 ◽

2018 ◽

Vol 114 (13) ◽

pp. 1438-1461 ◽

Author(s):

Y. Lu ◽

N. Blal ◽

A. Gravouil

Keyword(s):

Sparse Grid ◽

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Evaluating Two Sparse Grid Surrogates for Bayesian Uncertainty Quantification

World Environmental and Water Resources Congress 2015 ◽

10.1061/9780784479162.049 ◽

2015 ◽

Author(s):

Xiankui Zeng ◽

Ming Ye ◽

Jichun Wu

Keyword(s):

Uncertainty Quantification ◽

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Robust parameter identification with adaptive sparse grid-based optimization for nonlinear systems biology models

2009 American Control Conference ◽

10.1109/acc.2009.5160512 ◽

2009 ◽

Author(s):

Maia M. Donahue ◽

Gregery T. Buzzard ◽

Ann E. Rundell

Keyword(s):

Systems Biology ◽

Nonlinear Systems ◽

Parameter Identification ◽

Sparse Grid ◽

Robust Parameter ◽

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A sparse grid based method for generative dimensionality reduction of high-dimensional data

Journal of Computational Physics ◽

10.1016/j.jcp.2015.12.033 ◽

2016 ◽

Vol 309 ◽

pp. 1-17 ◽

Author(s):

Bastian Bohn ◽

Jochen Garcke ◽

Michael Griebel

Keyword(s):

Dimensionality Reduction ◽

High Dimensional Data ◽

Sparse Grid ◽

High Dimensional ◽

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A fast sparse grid based space–time boundary element method for the nonstationary heat equation

Numerische Mathematik ◽

10.1007/s00211-018-0963-5 ◽

2018 ◽

Vol 140 (1) ◽

pp. 239-264 ◽

Author(s):

Helmut Harbrecht ◽

Johannes Tausch

Keyword(s):

Boundary Element Method ◽

Heat Equation ◽

Boundary Element ◽

Sparse Grid ◽

Nonstationary Heat ◽

Time Boundary ◽

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Sparse-Grid-Based Adaptive Model Predictive Control of HL60 Cellular Differentiation

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2011.2174361 ◽

2012 ◽

Vol 59 (2) ◽

pp. 456-463 ◽

Author(s):

S. L. Noble ◽

L. E. Wendel ◽

M. M. Donahue ◽

G. T. Buzzard ◽

A. E. Rundell

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Cellular Differentiation ◽

Sparse Grid ◽

Adaptive Model ◽

Adaptive Model Predictive Control ◽

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Stochastic Optimization of Economic Dispatch With Wind and Photovoltaic Energy Using the Nested Sparse Grid-Based Stochastic Collocation Method

IEEE Access ◽

10.1109/access.2019.2927023 ◽

2019 ◽

Vol 7 ◽

pp. 91827-91837 ◽

Author(s):

Zhilin Lu ◽

Mingbo Liu ◽

Wentian Lu ◽

Zhuoming Deng

Keyword(s):

Stochastic Optimization ◽

Collocation Method ◽

Economic Dispatch ◽

Sparse Grid ◽

Stochastic Collocation ◽

Stochastic Collocation Method ◽

Photovoltaic Energy ◽

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Optimization of a Sparse Grid-Based Data Mining Kernel for Architectures Using AVX-512

2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) ◽

10.1109/cahpc.2018.8645913 ◽

2018 ◽

Author(s):

Paul-Cristian Sarbu ◽

Hans-Joachim Bungartz

Keyword(s):

Data Mining ◽

Sparse Grid ◽

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