@Article{IJNAM-10-2,
author = {J.-R., Cheng, C. and X.-H., Huang and Shu, S. and Xu, J. and Zhang, C.-S. and Zhang, S. and Zhou, Z.},
title = {Application of an Energy-Minimizing Algebraic Multigrid Method for Subsurface Water Simulations},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2013},
volume = {10},
number = {2},
pages = {374--388},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2617-8710},
doi = {https://doi.org/2013-IJNAM-573},
url = {https://global-sci.com/article/83401/application-of-an-energy-minimizing-algebraic-multigrid-method-for-subsurface-water-simulations}
}