pkgsrc - [no description]

Age	Commit message (Collapse)	Author	Files	Lines
2010-02-04	DESTDIR support	joerg	1	-5/+9

2009-06-14	Remove @dirrm entries from PLISTs	joerg	1	-4/+1

2008-03-10	Add CONFLICTS line for previous PKGNAME versions.	wiz	1	-1/+2
	Suggested by Alan Barrett.
2008-03-04	Fix version number by adding a PKGNAME.	wiz	1	-1/+2

2006-07-11	Uses C and C++.	joerg	1	-1/+3

2006-03-04	Point MAINTAINER to pkgsrc-users@NetBSD.org in the case where no	jlam	1	-2/+2
	developer is officially maintaining the package. The rationale for changing this from "tech-pkg" to "pkgsrc-users" is that it implies that any user can try to maintain the package (by submitting patches to the mailing list). Since the folks most likely to care about the package are the folks that want to use it or are already using it, this would leverage the energy of users who aren't developers.
2005-04-11	Remove USE_BUILDLINK3 and NO_BUILDLINK; these are no longer used.	tv	1	-2/+1

2005-02-23	Add RMD160 digests in addition to SHA1 ones.	agc	1	-1/+2

2004-04-24	Convert to buildlink3.	snj	1	-2/+2

2003-07-17	s/netbsd.org/NetBSD.org/	grant	1	-2/+2

2003-06-02	Use tech-pkg@ in favor of packages@ as MAINTAINER for orphaned packages.	jschauma	1	-2/+2
	Should anybody feel like they could be the maintainer for any of thewe packages, please adjust.
2003-04-30	Add terminating newline.	jtb	1	-2/+2

2003-04-29	Initial import of mtl.	jtb	4	-0/+188
	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.