NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS
Numer. Linear Algebra Appl., 6, 79–92 (1999)
Non-stationary Parallel Multisplitting Algorithms for
Almost Linear Systems
∗
Josep Arnal, Violeta Migall´ on and Jos´ e Penad´ es
Departamento de Ciencia de la Computaci´ on e Inteligencia Artificial, Universidad de Alicante,
E-03071 Alicante, Spain ({arnal, violeta, jpenades}@dtic.ua.es)
Non-stationary parallel multisplitting iterative methods are introduced for the solution of almost linear sys-
tems. A non-stationary parallel algorithm based on the AOR-type methods and its extension to asynchronous
models are considered. Convergence properties of the synchronous and asynchronous versions of these meth-
ods are studied for M-matrices and H -matrices. Furthermore, computational results about these methods
on a distributed memory multiprocessor, which illustrate the performance of the algorithms studied, are
discussed. Copyright © 1999 John Wiley & Sons, Ltd.
KEY WORDS Almost linear systems, non-stationary multisplitting methods, asynchronous algorithms,
parallel implementation, distributed memory.
1. Introduction
We are interested in the parallel solution of almost linear systems of the form
Ax + (x) = b, (1.1)
where A = (a
ij
) is a real n × n matrix, x and b are n-vectors and :
n
→
n
is a
nonlinear diagonal mapping (i.e., the i th component
i
of is a function only of x
i
).
These systems appear in practice from the discretization of differential equations, which
arise in many fields of applications such as trajectory calculation or the study of oscillatory
systems; see e.g., [3], [5] for some examples.
Considering that system (1.1) has in fact a unique solution, White [22] introduced the par-
allel nonlinear Gauss-Seidel algorithm, based on both the classical nonlinear Gauss-Seidel
method (see [17]) and the multisplitting technique (see [16]). Until then, the multisplitting
∗
This research was supported by Spanish DGICYT grant number PB96-1054-C02-01.
CCC 1070–5325/99/020079–14 $17.50 Received November 1997
Copyright © 1999 John Wiley & Sons, Ltd. Revised May 1998