Application of an energy-minimizing algebraic multigrid method for subsurface water simulations

Jing Ru C. Cheng; Xue Hai Huang; Shi Shu; Jinchao Xu; Chen Song Zhang; Shuo Zhang; Zhiyang Zhou

Application of an energy-minimizing algebraic multigrid method for subsurface water simulations

Jing Ru C. Cheng, Xue Hai Huang, Shi Shu, Jinchao Xu, Chen Song Zhang, Shuo Zhang, Zhiyang Zhou

Research output: Contribution to journal › Article › peer-review

Abstract

Efficient methods for solving linear algebraic equations are crucial to creating fast and accurate numerical simulations in many applications. In this paper, an algebraic multigrid (AMG) method, which combines the classical coarsening scheme by [19] with an energy-minimizing interpolation algorithm by [26], is employed and tested for subsurface water simulations. Based on numerical tests using real field data, our results suggest that the energy-minimizing algebraic multigrid method is efficient and, more importantly, very robust.© 2013 Institute for Scientific.

Original language	English (US)
Pages (from-to)	374-388
Number of pages	15
Journal	International Journal of Numerical Analysis and Modeling
Volume	10
Issue number	2
State	Published - Jun 14 2013
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-02-15

ASJC Scopus subject areas

Numerical Analysis

Cite this

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title = "Application of an energy-minimizing algebraic multigrid method for subsurface water simulations",

abstract = "Efficient methods for solving linear algebraic equations are crucial to creating fast and accurate numerical simulations in many applications. In this paper, an algebraic multigrid (AMG) method, which combines the classical coarsening scheme by [19] with an energy-minimizing interpolation algorithm by [26], is employed and tested for subsurface water simulations. Based on numerical tests using real field data, our results suggest that the energy-minimizing algebraic multigrid method is efficient and, more importantly, very robust.{\textcopyright} 2013 Institute for Scientific.",

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T1 - Application of an energy-minimizing algebraic multigrid method for subsurface water simulations

AU - Cheng, Jing Ru C.

AU - Huang, Xue Hai

AU - Shu, Shi

AU - Xu, Jinchao

AU - Zhang, Chen Song

AU - Zhang, Shuo

AU - Zhou, Zhiyang

N1 - Generated from Scopus record by KAUST IRTS on 2023-02-15

PY - 2013/6/14

Y1 - 2013/6/14

N2 - Efficient methods for solving linear algebraic equations are crucial to creating fast and accurate numerical simulations in many applications. In this paper, an algebraic multigrid (AMG) method, which combines the classical coarsening scheme by [19] with an energy-minimizing interpolation algorithm by [26], is employed and tested for subsurface water simulations. Based on numerical tests using real field data, our results suggest that the energy-minimizing algebraic multigrid method is efficient and, more importantly, very robust.© 2013 Institute for Scientific.

AB - Efficient methods for solving linear algebraic equations are crucial to creating fast and accurate numerical simulations in many applications. In this paper, an algebraic multigrid (AMG) method, which combines the classical coarsening scheme by [19] with an energy-minimizing interpolation algorithm by [26], is employed and tested for subsurface water simulations. Based on numerical tests using real field data, our results suggest that the energy-minimizing algebraic multigrid method is efficient and, more importantly, very robust.© 2013 Institute for Scientific.

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M3 - Article

SN - 1705-5105

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JO - International Journal of Numerical Analysis and Modeling

JF - International Journal of Numerical Analysis and Modeling

IS - 2

ER -

Application of an energy-minimizing algebraic multigrid method for subsurface water simulations

Abstract

Bibliographical note

ASJC Scopus subject areas

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