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 journalArticlepeer-review

1 Scopus citations


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 languageEnglish (US)
Pages (from-to)374-388
Number of pages15
JournalInternational Journal of Numerical Analysis and Modeling
Issue number2
StatePublished - Jun 14 2013
Externally publishedYes

Bibliographical note

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

ASJC Scopus subject areas

  • Numerical Analysis


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