LinAl 1.0
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LinAl 1.0 Ranking & Summary
File size:
0.12 MB
Platform:
Any Platform
License:
LGPL (GNU Lesser General Public License)
Price:
Downloads:
1348
Date added:
2006-02-17
Publisher:
Roland Krause and Chris Drexler
LinAl 1.0 description
LinAl was designed to bring together C++ and FORTRAN. At the same time LinAl is supposed to be easy to use, fast, and reasonably safe.
LinAl library is based on STL techniques and uses the STL containers for the storage of matrix data and STL algorithms where feasible.
Low level, algebraic operators, linear solvers, and eigenvalue solvers are implemented, based on calls to BLAS, LAPACK, and CGSOLX.
At the same time LinAl is supposed to be easy to use, fast and, to a certain extent, type save. While certain compromises were made in the class layout and design, strong emphasis was put on simplicity and speed.
The library is based on STL techniques and uses STL containers for the storage of matrix data furthermore STL algorithms are used where feasible. Low level, algebraic operators as well as linear solvers and eigenvalue solvers are implemented, based on calls to BLAS, LAPACK and CGSOLX and LANCZOS. These packages can be found on netlib.
Interested? Fantastic, download the package, get them compiler hummin and see whats this all about. Problems? Thats what the mailing list is for. So what are you waiting for?
LinAl library is based on STL techniques and uses the STL containers for the storage of matrix data and STL algorithms where feasible.
Low level, algebraic operators, linear solvers, and eigenvalue solvers are implemented, based on calls to BLAS, LAPACK, and CGSOLX.
At the same time LinAl is supposed to be easy to use, fast and, to a certain extent, type save. While certain compromises were made in the class layout and design, strong emphasis was put on simplicity and speed.
The library is based on STL techniques and uses STL containers for the storage of matrix data furthermore STL algorithms are used where feasible. Low level, algebraic operators as well as linear solvers and eigenvalue solvers are implemented, based on calls to BLAS, LAPACK and CGSOLX and LANCZOS. These packages can be found on netlib.
Interested? Fantastic, download the package, get them compiler hummin and see whats this all about. Problems? Thats what the mailing list is for. So what are you waiting for?
LinAl 1.0 Screenshot
LinAl 1.0 Keywords
LinAl
STL
LinAl 1.0
FORTRAN
to bring together
to bring
Designed To
bring together
solvers
together
designed
C++
based
bring
LinAl 1.0
Libraries
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LinAl 1.0 Copyright
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