Richard Fateman <fateman@cs.berkeley.edu> writes:
> Depending on how much polynomial manipulation you
> need, you may find other simpler things to do, perhaps
> taking a few pages of lisp. For example, you probably
> don't need to worry about GCD computations, or polynomials
> of high degree. Representing polynomials in n variables
> as n-dimensional arrays may be entirely adequate, especially
> since the polynomial stuff would be done (I imagine) only
> in setting up the problem, not in the iterations.
> RJF
What I would need most is multiprecision floating point numbers. Do you
know a separate package for this? (I know CLISP has this, but CLISP does
not do native code compilation and is therefore not suited for hardcore
numerics. And I need it sometimes also out of the initialization phase,
e.g. for postprocessing. Imagine wanting to evaluate a finite element
function on some arbitrary point in the domain).
In the (very?) far future, I could imagine benefits for using other parts
of Maxima as well. Especially, I'm thinking of extending the Maxima
language to handle also partial differential equations (e.g. enter
coefficient functions in a mathematical form, call solve, plot the
solution).
Nicolas.