On Thu, Jan 21, 2021 at 8:04 PM parisse <bernard...@ujf-grenoble.fr>
wrote:
Well, searching for "lisp infix notation" is not very convincing
(unless I missed something?), compared to built-in infix support. You might
prefer Lisp to C/C++, it's your choice, but I don't see any objective
reason that one should stay away from C/C++. And Giac is a proof that one
can actually write a CAS in C/C++, that compares very well with the
Lisp-based CAS Maxima.
Maxima is ~40 years old with a bit of work done since then, but the
core is that old, as far as I know:
https://en.wikipedia.org/wiki/Macsyma
As for staying away from C++, most people who might be trying to do
something with supposedly state of the art library like boost,
would run away screaming, closely followed by 100 screens of error
messages :-)
Or, now mostly gone (?), iterator_traits (my closest encounter with
C++, contributing to CGAL, 20 years ago, where these had to be
generated by a script for some classes, otherwise compilers kept
crashing...)
Le jeudi 21 janvier 2021 à 18:07:14 UTC+1, dim...@gmail.com a écrit :
On Wed, Jan 20, 2021 at 7:13 PM parisse <bernard...@ujf-grenoble.fr>
wrote:
As the author of a CAS, I can state that you need much more than 2
weeks to learn a programming language to make a CAS, and much much more if
you want to be fast. Life is short, therefore choose your programming
language carefully! I don't regret my choice for C (+ C++ STL and operator
redefinition) made 20 years ago, because C can interact with a lot of
languages (including compilation to Javascript). If I had to choose today,
I would perhaps choose Julia. Not Python, it's much too slow. I don't know
for Lisp speed, but it's not a language I would choose anyway, I like to
write e.g. a+b*c when I do algebraic computations in my source code.
There are macro packages for infix maths in Common Lisp, so this by
no
means should be a deal-breaker for anyone.
Needless to say, C++ has its own can of worms, which anyone who tried
to used it might easily produce, as a reason to stay
away from it.
Le mercredi 20 janvier 2021 à 19:47:01 UTC+1, rjf a écrit :
I think you have to figure that there is a difference in
productivity of people who just learned Python in high school and would
really like to write a computer algebra system
versus people who know more mathematics, are comfortable spending
2 weeks learning lisp, spending ?? (weeks? months?) studying the state of
the art in
computer algebra systems as evolved over 60 years, and want to
contribute to advancing the art (rather than re-programming the easy
stuff).
I am under the impression that learning python is a reasonable
stepping stone to learning lisp.
As far as checking results for various systems, there is a
category of CAS bugs that are syistem independent.
That is, they occur in many systems! Sometimes they depend on
secretly dividing by zero, or doing something
that is invalid at a singularity. So "Maple and Mathematica and
... all agree" does not mean they are right!
I think my essential point previously is that rewriting easy stuff
(in a different language) typically fails to push the frontier.
On Wednesday, January 20, 2021 at 5:54:51 AM UTC-8 kcrisman wrote:
As to the question of replacing backends, there is already a
ticket (which I cannot find right now, my apologies) which started the
process of seeing what doctests would fail if we went to Sympy as default.
Presumably something similar could be done with this engine (I don't know
if it is more for low-level symbolics or also things like integration).
In particular, the (very minimal) documentation (really an API is
all) makes it seems more a replacement for things like Ginac (already in
C++), not Maxima et al. I don't know if that would provide a noticeable
speedup per se, though the SageManifolds ticket mentioned parallelization
so perhaps it is better suited for that?
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