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ML 3.1 smoothed aggregation user's guide.

Description: ML is a multigrid preconditioning package intended to solve linear systems of equations Ax = b where A is a user supplied n x n sparse matrix, b is a user supplied vector of length n and x is a vector of length n to be computed. ML should be used on large sparse linear systems arising from partial differential equation (PDE) discretizations. While technically any linear system can be considered, ML should be used on linear systems that correspond to things that work well with multigrid methods … more
Date: October 1, 2004
Creator: Sala, Marzio; Hu, Jonathan Joseph (Sandia National Laboratories, Livermore, CA) & Tuminaro, Raymond Stephen (Sandia National Laboratories, Livermore, CA)
Partner: UNT Libraries Government Documents Department
open access

ML 3.1 developer's guide.

Description: ML development was started in 1997 by Ray Tuminaro and Charles Tong. Currently, there are several full- and part-time developers. The kernel of ML is written in ANSI C, and there is a rich C++ interface for Trilinos users and developers. ML can be customized to run geometric and algebraic multigrid; it can solve a scalar or a vector equation (with constant number of equations per grid node), and it can solve a form of Maxwell's equations. For a general introduction to ML and its applications, w… more
Date: May 1, 2004
Creator: Sala, Marzio; Hu, Jonathan Joseph (Sandia National Laboratories, Livermore, CA) & Tuminaro, Raymond Stephen (Sandia National Laboratories, Livermore, CA)
Partner: UNT Libraries Government Documents Department
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