CMATLIB is set of libraries for numerical applicatons, which I wrote
while working on my thesis research.
The basis of CMATLIB is a C-wrapper for
which performs basic matrix manipulation and arithmetic.
On top of this has been built support for some capabilities of
neural-network training and evaluation, hidden Markov model support,
kd-trees, spline smoothing, and cublic spline interpolation.
CMATLIB is intended to be as efficient as possible by using the BLAS
library that is already installed on your computer.
If BLAS is not installed on your computer, you will need to install it.
See the prerequisites section of this page for information about this
and other software you will need to compile and use CMATLIB.
- An RScheme
interface exists for CMATLIB, and is contained in the
Is not documented to this point.
Currently, the RScheme interface works, but it must be built with an
version of G-Wrap.
- Guile interface to CMATLIB.
RScheme development seems to have been a little slow
for a while, I may add an interface for Guile, using a more modern
version of G-Wrap.
- Possible move to a base of the
GNU Scientific Library.
This would have the advantage of working on a base of code which
is more widely used, and easier to build.
Neural net, HMM, smoothing code, etc... would be ported, along
with the Scheme interface.
This would require a switch from LGPL to GPL.
February 23, 2002.
version 0.3.9.3, the first Sourceforge based release.
February 5, 2002.
I have recently moved CMATLIB to Sourceforge to make it
useful to more people.
To build this package, the following are needed:
- A Fortran compiler (I've only tested with g77 so far).
A copy of these libraries may have been included
with your computer if it is an engineering workstation. For Linux
systems, check your distribution for this libraries (I use Debian's
libraries on my PC). Sources for these packages are available