pkgsrc - [no description]

Age	Commit message (Collapse)	Author	Files	Lines
2016-03-25	Libtoolize to provide shared libraries. Fixes parallel build as side	joerg	3	-8/+67
	effect. Bump revision.
2015-11-03	Add SHA512 digests for distfiles for math category	agc	1	-1/+3
	Problems found locating distfiles: Package dfftpack: missing distfile dfftpack-20001209.tar.gz Package eispack: missing distfile eispack-20001130.tar.gz Package fftpack: missing distfile fftpack-20001130.tar.gz Package linpack: missing distfile linpack-20010510.tar.gz Package minpack: missing distfile minpack-20001130.tar.gz Package odepack: missing distfile odepack-20001130.tar.gz Package py-networkx: missing distfile networkx-1.10.tar.gz Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz Package quadpack: missing distfile quadpack-20001130.tar.gz Otherwise, existing SHA1 digests verified and found to be the same on the machine holding the existing distfiles (morden). All existing SHA1 digests retained for now as an audit trail.
2014-10-15	Racy build.	joerg	1	-1/+4

2013-04-08	Revert pkglint-induced nonsense.	asau	1	-23/+35

2013-04-07	Edited DESCR in the case of:	rodent	1	-35/+23
	File too long (should be no more than 24 lines). Line too long (should be no more than 80 characters). Trailing empty lines. Trailing white-space. Trucated the long files as best as possible while preserving the most info contained in them.
2013-04-06	"This line belongs inside the .ifdef block."	rodent	1	-3/+3

2012-09-11	"user-destdir" is default these days	asau	1	-3/+1

2012-05-29	Import ARPACK 96 as math/arpack.	asau	7	-0/+157
	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 nk 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.