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Math::Gradient is used to calculate smooth transitions between numerical values (also known as a "Gradient"). I wrote this module mainly to mix colours, but it probably has several other applications. Methods are supported to handle both basic and multiple-point gradients, both with scalars and arrays.

BaseCnv provides a few simple functions for converting between arbitrary number bases. It is as fast as I currently know how to make it (of course relying only on the lovely Perl). If you would rather utilize an object syntax for number-base conversion, please see Ken Williams's <Ken@Forum.Swarthmore.Edu> fine Math::BaseCalc module.

This is a very resticted perl interface to GNU Scientific Library. The GSL is itself distributed under GPL and is available from: Only the routines relating the solving of polynomials are exported. It exists to provide that function to "tkscope" in Audio::Data.

This module is an extension to the Math::Symbolic module. A basic familiarity with that module is required. Math::SymbolicX::Inline allows easy creation of Perl functions from symbolic expressions in the context of Math::Symbolic. That means you can define arbitrary Math::Symbolic trees (including derivatives) and let this module compile them to package subroutines.

The BitVector class for a memory-efficient packed representation of bit arrays and for logical operations on such arrays. The core idea used in this Python script for bin packing is based on an internet posting by Josiah Carlson to the Pyrex mailing list.

Qhull computes convex hulls, Delaunay triangulations, halfspace intersections about a point, Voronoi diagrams, furthest-site Delaunay triangulations, and furthest-site Voronoi diagrams. It runs in 2-d, 3-d, 4-d, and higher dimensions. It implements the Quickhull algorithm for computing the convex hull. Qhull handles roundoff errors from floating point arithmetic. It computes volumes, surface areas, and approximations to the convex hull.

Qhull computes convex hulls, Delaunay triangulations, halfspace intersections about a point, Voronoi diagrams, furthest-site Delaunay triangulations, and furthest-site Voronoi diagrams. It runs in 2-d, 3-d, 4-d, and higher dimensions. It implements the Quickhull algorithm for computing the convex hull. Qhull handles roundoff errors from floating point arithmetic. It computes volumes, surface areas, and approximations to the convex hull.

Gnuplot.py is a Python package that interfaces to gnuplot, the popular plotting program. It allows you to use gnuplot from within Python to plot arrays of data from memory, data files, or mathematical functions. If you use Python to perform computations or as `glue' for numerical programs, you can use this package to plot data on the fly as they are computed. And the combination with Python makes it is easy to automate things, including to create crude `animations' by plotting different datasets one after another. Commands are communicated to gnuplot through a pipe and data either through the same pipe (as "inline" data) or through temporary files. It has been written and tested on a Unix computer. This package has an object-oriented design that allows the user flexibility to set plot options and to run multiple gnuplot sessions simultaneously. If you are more ambitious, it is not difficult to add entirely new types of plottable items by deriving from the `PlotItem' class. For a demonstration, run the python file by typing `python demo.py'.

The symeig module contains a Python wrapper for the LAPACK functions to solve the standard and generalized eigenvalue problems for symmetric (hermitian) positive definite matrices. Those specialized algorithms give an important speed-up with respect to the generic LAPACK eigenvalue problem solver used by NumPy (linalg.eig and linalg.eigh).

rpCalc started out as a little program written to try out various Python GUI toolkits. But I ended up using it all the time (it's much quicker to pull it up than to pull an actual HP calculator out of the desk), and I made several improvements. So I decided to make it available to others who also like RPN calculators.