Robust algebraic preconditioners using IFPACK 3.0. | Zendy

Marzio Sala | Zendy; Michael A. Heroux | Zendy

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Robust algebraic preconditioners using IFPACK 3.0.

Author(s) -

Marzio Sala,

Michael A. Heroux

Publication year - 2005

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/1127118

Subject(s) - block (permutation group theory) , solver , software portability , relaxation (psychology) , computer science , matrix (chemical analysis) , mathematics , algorithm , algebra over a field , mathematical optimization , combinatorics , pure mathematics , psychology , social psychology , programming language , materials science , composite material

IFPACK provides a suite of object-oriented algebraic preconditioners for the solution of preconditioned iterative solvers. IFPACK constructors expect the (distributed) real sparse matrix to be an Epetra RowMatrix object. IFPACK can be used to define point and block relaxation preconditioners, various flavors of incomplete factorizations for symmetric and non-symmetric matrices, and one-level additive Schwarz preconditioners with variable overlap. Exact LU factorizations of the local submatrix can be accessed through the AMESOS packages. IFPACK , as part of the Trilinos Solver Project, interacts well with other Trilinos packages. In particular, IFPACK objects can be used as preconditioners for AZTECOO, and as smoothers for ML. IFPACK is mainly written in C++, but only a limited subset of C++ features is used, in order to enhance portability.

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