SymEngine - turn to function

[Ahmed_Salih]

I’ve found this temporary solution:

Creating Julia function from a symbolic expression (using SymEngine)

Hello, what would be a good way to define a Julia function based on the result of symbolic calculations? For the moment, using lambdify in SymEngine gives a rather slow result, as compared to “brute force” parsing of the SymEngine output: using SymEngine @vars x # Complicated symbolic expression here symf = x fl = lambdify(symf, [x]) eval(Meta.parse("fm(x)="*SymEngine.toString(symf))) This defines two functions fl and fm which evaluate the expression in symf. However, the variant with par…

Bf = lambdify(Bmat, [x,y,a,b])

But according to the post it might be slow. It works atleast.

Kind regards, if someone else have a better solution I would love to hear