Add to ORKGAbstract. 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
Algebraic Multigrid Method (AMG) performance im-provement by vector sequence extrapolation is exam-i...
SAMG (Algebraic Multigrid Methods for Systems) is a very mature program package being used for the e...
Algebraic Multigrid (AMG) is an efficient multigrid method for solving large problems, using only th...
A serious bottleneck in performing large-scale numerical simulations is the speed with which the und...
Algebraic Multiscale (AMS) is a recent development for the construction of efficient linear solvers ...
A primary challenge for a new generation of reservoir simulators is the accurate description of mult...
Algebraic multigrid (AMG) methods for directly solving coupled systems of partial differential equat...
Reservoir models can easily incorporate millions or even billions of unknowns. Algebraic multigrid (...
The new algebraic multigrid method the rate of which doesn't depend upon the discretization paramete...
Fully implicit petroleum reservoir simulations result in huge, often very ill-conditioned linear sys...
Multigrid methods are studied for solving elliptic partial differential equations. Focus is on paral...
The Newton-based global gradient algorithm (GGA) (also known as the Todini and Pilati method) is a w...
The Newton-based global gradient algorithm (GGA) (also known as the Todini and Pilati method) is a w...
The topic of this thesis is GPU accelerated sparse linear algebra for subsurface reservoir modeling....
We propose a new, efficient, adaptive algebraic multigrid (AMG) solver strategy for the discrete sys...
Algebraic Multigrid Method (AMG) performance im-provement by vector sequence extrapolation is exam-i...
SAMG (Algebraic Multigrid Methods for Systems) is a very mature program package being used for the e...
Algebraic Multigrid (AMG) is an efficient multigrid method for solving large problems, using only th...
A serious bottleneck in performing large-scale numerical simulations is the speed with which the und...
Algebraic Multiscale (AMS) is a recent development for the construction of efficient linear solvers ...
A primary challenge for a new generation of reservoir simulators is the accurate description of mult...
Algebraic multigrid (AMG) methods for directly solving coupled systems of partial differential equat...
Reservoir models can easily incorporate millions or even billions of unknowns. Algebraic multigrid (...
The new algebraic multigrid method the rate of which doesn't depend upon the discretization paramete...
Fully implicit petroleum reservoir simulations result in huge, often very ill-conditioned linear sys...
Multigrid methods are studied for solving elliptic partial differential equations. Focus is on paral...
The Newton-based global gradient algorithm (GGA) (also known as the Todini and Pilati method) is a w...
The Newton-based global gradient algorithm (GGA) (also known as the Todini and Pilati method) is a w...
The topic of this thesis is GPU accelerated sparse linear algebra for subsurface reservoir modeling....
We propose a new, efficient, adaptive algebraic multigrid (AMG) solver strategy for the discrete sys...
Algebraic Multigrid Method (AMG) performance im-provement by vector sequence extrapolation is exam-i...
SAMG (Algebraic Multigrid Methods for Systems) is a very mature program package being used for the e...
Algebraic Multigrid (AMG) is an efficient multigrid method for solving large problems, using only th...