pkgsrc - [no description]

Age	Commit message (Collapse)	Author	Files	Lines
2015-11-03	Add SHA512 digests for distfiles for math category	agc	1	-1/+2
	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.
2012-09-13	Update to MTL 2.1.2-22	asau	1	-4/+4
	Add test target. Changes in MTL 2.1.2-22 Adaptations to the stricter syntax requirements in new compilers like GCC 4.0.
2005-02-23	Add RMD160 digests in addition to SHA1 ones.	agc	1	-1/+2

2003-04-29	Initial import of mtl.	jtb	1	-0/+4
	The Matrix Template Library is a C++ class library for basic linear algebra. The MTL is designed for high-performance while at the same time taking advantage of the generic programming paradigm (ala the STL) to allow much greater flexibility and breadth of functionality. Many new and advanced programming techniques were used in the construction of this library. The MTL is a low level library in the sense that the user must be conscious of the matrix type being used, and that all computationally expensive operations are explicit. The MTL is not a C++ Matlab. Nevertheless, the interface is designed to be simple and easy to use. The matrix types provided include compressed sparse row/column, banded, packed, diagonal (and tridiagonal), envelope, array of pointers, and of course dense matrices. All matrix types share a common and easy to use interface. The algorithms consist of the traditional basic linear algebra routines (from the BLAS level-1 to 3) which includes matrix and vector arithmetic as well as operations such as backward substitution and norm calculations.