Or more likely it's better to use implemented_function that is imported from utilities.lambdify? It seems to me that implemented_function is quite important if one wants for example to have complicated numerical routines accessible as sympy expressions. In my opinion it's actually important enough to be mentioned in the tutorial/pitfalls. Because defining a function to be used in sympy is actually not as simple as defining a python function (python functions evaluate immediately, sympy functions do not).
Another question that I need help with is what is Lambda used for. Is there something that Lambda does and implemented_function does not? On 10 January 2012 16:39, krastanov.ste...@gmail.com < krastanov.ste...@gmail.com> wrote: > How can I represent an unevaluated call to nsolve as a sympy expression? > Is Lambda the best (and standard) solution? > > The expression I want to represent looks like nsolve(x-tanh(x-h),[x],0). > The free symbol is h. It's in the context of plotting phase transition > diagrams. > -- You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to sympy@googlegroups.com. To unsubscribe from this group, send email to sympy+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/sympy?hl=en.
