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author | asau <asau@pkgsrc.org> | 2012-05-29 16:38:01 +0000 |
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committer | asau <asau@pkgsrc.org> | 2012-05-29 16:38:01 +0000 |
commit | 77f06b302e766547c101b832a623d67288a70125 (patch) | |
tree | aed95a2193cc7c4e9c00ea965d831b7ff081a5f5 /math/arpack/Makefile | |
parent | 38bdebee60d077e9e85bb92964fe6fefecd887a1 (diff) | |
download | pkgsrc-77f06b302e766547c101b832a623d67288a70125.tar.gz |
Import ARPACK 96 as math/arpack.
Contributed to pkgsrc-wip by Jason Bacon.
ARPACK is a collection of Fortran77 subroutines designed to solve large
scale eigenvalue problems.
The package is designed to compute a few eigenvalues and corresponding
eigenvectors of a general n by n matrix A. It is most appropriate for large
sparse or structured matrices A where structured means that a matrix-vector
product w <- Av requires order n rather than the usual order n**2 floating
point operations. This software is based upon an algorithmic variant of the
Arnoldi process called the Implicitly Restarted Arnoldi Method (IRAM). When
the matrix A is symmetric it reduces to a variant of the Lanczos process
called the Implicitly Restarted Lanczos Method (IRLM). These variants may be
viewed as a synthesis of the Arnoldi/Lanczos process with the Implicitly
Shifted QR technique that is suitable for large scale problems. For many
standard problems, a matrix factorization is not required. Only the action
of the matrix on a vector is needed. ARPACK software is capable of solving
large scale symmetric, nonsymmetric, and generalized eigenproblems from
significant application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest real part
or largest magnitude. Storage requirements are on the order of n*k locations.
No auxiliary storage is required. A set of Schur basis vectors for the desired
k-dimensional eigen-space is computed which is numerically orthogonal to working
precision. Numerically accurate eigenvectors are available on request.
Important Features:
o Reverse Communication Interface.
o Single and Double Precision Real Arithmetic Versions for Symmetric,
Non-symmetric, Standard or Generalized Problems.
o Single and Double Precision Complex Arithmetic Versions for Standard
or Generalized Problems.
o Routines for Banded Matrices - Standard or Generalized Problems.
o Routines for The Singular Value Decomposition.
o Example driver routines that may be used as templates to implement
numerous Shift-Invert strategies for all problem types, data types
and precision.
Diffstat (limited to 'math/arpack/Makefile')
-rw-r--r-- | math/arpack/Makefile | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/math/arpack/Makefile b/math/arpack/Makefile new file mode 100644 index 00000000000..5d182b47028 --- /dev/null +++ b/math/arpack/Makefile @@ -0,0 +1,29 @@ +# $NetBSD: Makefile,v 1.1.1.1 2012/05/29 16:38:01 asau Exp $ + +DISTNAME= arpack96 +PKGNAME= arpack-96 +CATEGORIES= math +MASTER_SITES= http://www.caam.rice.edu/software/ARPACK/SRC/ +DISTFILES= arpack96.tar.gz patch.tar.gz + +MAINTAINER= jwbacon@tds.net +HOMEPAGE= http://www.caam.rice.edu/software/ARPACK/SRC/ +COMMENT= Library of subroutines to solve eigenvalue problems +LICENSE= original-bsd + +PKG_DESTDIR_SUPPORT= user-destdir + +WRKSRC= ${WRKDIR}/ARPACK +USE_LANGUAGES= fortran77 +MAKE_ENV+= WRKSRC=${WRKSRC} + +INSTALLATION_DIRS= lib + +# Patches must be extracted AFTER the main dist to overwrite files +post-extract: + cd ${WRKDIR} && ${TAR} -zxf ${DISTDIR}/patch.tar.gz + +do-install: + ${INSTALL_DATA} ${WRKSRC}/libarpack.a ${DESTDIR}${PREFIX}/lib + +.include "../../mk/bsd.pkg.mk" |