Abstract: We introduce an adaptive algebraic multigrid method (AMG) for numerical solution of three-dimensional elliptic equations. A new element is the integration of AMG technique with the smoothers based on optimal Chebyshev polynomials. The possibilities of automatic adaptation of smoothers to the bounds of the АMG discrete operators are shown. The properties of two smoothers, the polynomial and the rational function, are discussed. The results of experimental verification of the AMG are given. Effective implementation of the smoothers and solver for the coarsest equations with the help of Chebyshev explicit-iterative algorithms enables the functioning of the parallel code on modern supercomputer architectures.Note: ...
Adaptive Mesh Refinement (AMR) is a numerical technique for locally tailoring the resolution computa...
Abstract: Parallel multigrid method for elliptic difference equations. Anisotropic diffusi...
The new algebraic multigrid method the rate of which doesn't depend upon the discretization paramete...
Abstract: Multigrid method is widely used for computations of diffusion, fluid dynamics, e...
Since the early nineties, there has been a strongly increasing demand for more efficient methods to ...
. An algebraic multigrid algorithm for symmetric, positive definite linear systems is developed base...
With the ubiquity of large-scale computing resources has come significant attention to practical det...
In modern large-scale supercomputing applications, Algebraic Multigrid (AMG) is a leading choice for...
Abstract: The multigrid algorithm for elliptic equations on curvilinear grids have been c...
Abstract: We present the difference method for elliptic equations appearing in connection ...
In the last two decades, substantial effort has been devoted to solve large systems of linear equati...
Since the early nineties, there has been a strongly increasing demand for more efficient methods to ...
Multigrid methods have been very active area of research since it was introduced in 1960’[19]. It is...
: We survey some of the recent research in developing multilevel algebraic solvers for elliptic prob...
A new multigrid algorithm based on the method of self-correction for the solution of elliptic proble...
Adaptive Mesh Refinement (AMR) is a numerical technique for locally tailoring the resolution computa...
Abstract: Parallel multigrid method for elliptic difference equations. Anisotropic diffusi...
The new algebraic multigrid method the rate of which doesn't depend upon the discretization paramete...
Abstract: Multigrid method is widely used for computations of diffusion, fluid dynamics, e...
Since the early nineties, there has been a strongly increasing demand for more efficient methods to ...
. An algebraic multigrid algorithm for symmetric, positive definite linear systems is developed base...
With the ubiquity of large-scale computing resources has come significant attention to practical det...
In modern large-scale supercomputing applications, Algebraic Multigrid (AMG) is a leading choice for...
Abstract: The multigrid algorithm for elliptic equations on curvilinear grids have been c...
Abstract: We present the difference method for elliptic equations appearing in connection ...
In the last two decades, substantial effort has been devoted to solve large systems of linear equati...
Since the early nineties, there has been a strongly increasing demand for more efficient methods to ...
Multigrid methods have been very active area of research since it was introduced in 1960’[19]. It is...
: We survey some of the recent research in developing multilevel algebraic solvers for elliptic prob...
A new multigrid algorithm based on the method of self-correction for the solution of elliptic proble...
Adaptive Mesh Refinement (AMR) is a numerical technique for locally tailoring the resolution computa...
Abstract: Parallel multigrid method for elliptic difference equations. Anisotropic diffusi...
The new algebraic multigrid method the rate of which doesn't depend upon the discretization paramete...