The workaround worked for me. Thank you.
Btw, I love SymPy. You guys rock, this software is really awesome.
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I have a Vector whose components are long expressions. I'd like to evaluate
them so I can see the numerical value of the components. Is there an easy way
to do so?
Seems like it should be simpler than the easiest way that I can come up with,
which involves taking dot products. I was hoping for
Here's the traceback.
Traceback (most recent call last):
File "solve_closed_form_static_level.py", line 17, in
print('Writing to disk complete.')
File "C:\Program
Files\conda\64bit\lib\site-packages\sympy\solvers\solvers.py", li
ne 1071, in solve
solution = _solve_system(f,
The system of equations is modeling a physical system. I'd think it's
tractable, but I guess I'm not sure. I have seen closed form solutions for
problems that are similar, but not identical, which were solved with
Mathematica. Would it help to incorporate an assumption that all symbols are
Hello Mr. Meurer,
Thanks for your help and for your efforts towards the project in general.
The solve did not finish. I eventually killed it.
I will run it again and ctrl+C it to get the traceback at an appropriate time
after starting it.
There were only two equations and two unknowns
While running solve() on a system of two big equations over the course of
three days, I came back to find what I'd consider bizarre memory usage.
Solve was not complete (not unexpected) and the python process had a
commit charge of 100GB with only 6GB in the working set (unexpected). The
