<urc>
<url>http://math.nist.gov/acmd/Staff/RPozo/sparselib++.html
<lifn>lifn:nhse:a4c02247221abb5e4e9b9da749545431
<title>SparseLib++
<title_line>a C++ class library for efficient sparse matrix computations
across various computational platforms
<version>1.4
<pubdate>25 July 1995
<author>Roldan Pozo &lt;pozo@nist.gov&gt;
Karin Remington &lt;karin@nist.gov&gt;
Andrew Lumsdaine &lt;Andrew.Lumsdaine@nd.edu&gt;
<contact>Roldan Pozo &lt;pozo@nist.gov&gt;
<abstract>
SparseLib++ is a C++ class library for efficient sparse matrix computations
across various computational platforms.  The software package consists of
matrix classes encompassing several sparse storage formats
(e.g. compressed row, compressed column and coordinate formats), and providing
basic functionality for managing sparse matrices. The Sparse BLAS Toolkit 
is used for efficient kernel mathematical operations (e.g., sparse
matrix-vector multiply) and to enhance portability and performance across
a wide range of computer architectures. Included in the package are various
preconditions commonly used in iterative solvers for linear systems of 
equations. The focus is on computational support for iterative methods
(for example, see IML++), but the sparse matrix objects presented here can
be used in their own right.
<environment>GNU g++ 2.6.3
Sun CC 3.0.1
<category>numerical-linalg
</urc>