This paper presents a progress in the development of a
recent and promising wavelet-based Algebraic Multigrid method.
This new approach uses the lifting technique for creating an
algorithm with smaller memory requirement and a reduced
number of floating point operations, if long filters are used, keeping
the efficiency of the multigrid technique, which is tested in the
TEAM 28 Problem. The Incomplete Cholesky and Incomplete LU
preconditioners are used for comparison.This paper presents a progress in the development of a
recent and promising wavelet-based Algebraic Multigrid method.
This new approach uses the lifting technique for creating an
algorithm with smaller memory requirement and a reduced
number of floating point operations, if long filters are used, keeping
the efficiency of the multigrid technique, which is tested in the
TEAM 28 Problem. The Incomplete Cholesky and Incomplete LU
preconditioners are used for comparison.
