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authorasau <asau@pkgsrc.org>2012-05-29 16:38:01 +0000
committerasau <asau@pkgsrc.org>2012-05-29 16:38:01 +0000
commit77f06b302e766547c101b832a623d67288a70125 (patch)
treeaed95a2193cc7c4e9c00ea965d831b7ff081a5f5 /math/arpack/Makefile
parent38bdebee60d077e9e85bb92964fe6fefecd887a1 (diff)
downloadpkgsrc-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.
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+# $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"