An algebraic distances measure of AMG strength of connection

Mathematics – Numerical Analysis

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

16 pages

Scientific paper

Algebraic multigrid is an iterative method that is often optimal for solving the matrix equations that arise in a wide variety of applications, including discretized partial differential equations. It automatically constructs a sequence of increasingly smaller matrix problems that enable efficient resolution of all scales present in the solution. One of the main components of the method is an adequate choice of coarse grids. The current coarsening methodology is based on measuring how a so-called algebraically smooth error value at one point depends on the error values at its neighbors. Such a concept of strength of connection is well understood for operators whose principal part is an M-matrix; however, the strength concept for more general matrices is not yet clearly understood, and this lack of knowledge limits the scope of AMG applicability. The purpose of this paper is to motivate a general definition of strength of connection, based on the notion of algebraic distances, discuss its implementation, and present the results of initial numerical experiments. The algebraic distance measure, we propose, uses as its main tool a least squares functional, which is also applied to define interpolation.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

An algebraic distances measure of AMG strength of connection does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with An algebraic distances measure of AMG strength of connection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An algebraic distances measure of AMG strength of connection will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-359896

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.