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authorjtb <jtb@pkgsrc.org>2003-04-29 23:52:25 +0000
committerjtb <jtb@pkgsrc.org>2003-04-29 23:52:25 +0000
commita2a9a6842a48f80d642840bad500ce085c1edff0 (patch)
tree4767c81281dbc938b2807402c94558a014160a26 /math/mtl/DESCR
parent329262cd9b925225af1e5014d3d629571328f289 (diff)
downloadpkgsrc-a2a9a6842a48f80d642840bad500ce085c1edff0.tar.gz
Initial import of mtl.
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.
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+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.