Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem

The numerical integration of multidimensional functions using some variables of the sparse grid method for the absorption problem is presented in this paper. The multivariate quadrature expressions are constructed by combining tensor of suited one dimensional formula. We develop a multidimensional a...

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Main Authors: Xuesong Chen, Heng Mai, Lili Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8917993/
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author Xuesong Chen
Heng Mai
Lili Zhang
author_facet Xuesong Chen
Heng Mai
Lili Zhang
author_sort Xuesong Chen
collection DOAJ
description The numerical integration of multidimensional functions using some variables of the sparse grid method for the absorption problem is presented in this paper. The multivariate quadrature expressions are constructed by combining tensor of suited one dimensional formula. We develop a multidimensional adaptive quadrature algorithm for the implementation of sparse grid based on a hierarchical basis. Furthermore, we obtain a new error bound at each sparse grid point. The numerical examples are shown to demonstrate the efficiency of our algorithm for the absorption problem and confirm the theoretical estimates.
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spelling doaj.art-277c3904a48644fe9ea3a51e52c0e7022022-12-22T03:12:46ZengIEEEIEEE Access2169-35362019-01-01717247017247610.1109/ACCESS.2019.29568098917993Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption ProblemXuesong Chen0https://orcid.org/0000-0001-9530-0644Heng Mai1https://orcid.org/0000-0002-0986-5532Lili Zhang2https://orcid.org/0000-0002-6844-4201School of Applied Mathematics, Guangdong University of Technology, Guangzhou, ChinaSchool of Applied Mathematics, Guangdong University of Technology, Guangzhou, ChinaSchool of Applied Mathematics, Guangdong University of Technology, Guangzhou, ChinaThe numerical integration of multidimensional functions using some variables of the sparse grid method for the absorption problem is presented in this paper. The multivariate quadrature expressions are constructed by combining tensor of suited one dimensional formula. We develop a multidimensional adaptive quadrature algorithm for the implementation of sparse grid based on a hierarchical basis. Furthermore, we obtain a new error bound at each sparse grid point. The numerical examples are shown to demonstrate the efficiency of our algorithm for the absorption problem and confirm the theoretical estimates.https://ieeexplore.ieee.org/document/8917993/Multidimensional systemsinterpolationgrid computingerror analysisconvergence of numerical methods
spellingShingle Xuesong Chen
Heng Mai
Lili Zhang
Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem
IEEE Access
Multidimensional systems
interpolation
grid computing
error analysis
convergence of numerical methods
title Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem
title_full Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem
title_fullStr Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem
title_full_unstemmed Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem
title_short Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem
title_sort multidimensional hierarchical interpolation method on sparse grids for the absorption problem
topic Multidimensional systems
interpolation
grid computing
error analysis
convergence of numerical methods
url https://ieeexplore.ieee.org/document/8917993/
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AT hengmai multidimensionalhierarchicalinterpolationmethodonsparsegridsfortheabsorptionproblem
AT lilizhang multidimensionalhierarchicalinterpolationmethodonsparsegridsfortheabsorptionproblem