After a page of sympy manipulations I get and expression involving LambertW, but the answer given is for the zeroth branch cut. I can tell that I wanted the -1 branch. So, I’d like to change every occurrence of LambertW(y) into LambertW(y, -1).real, where y is an arbitrary sympy expression (that is different in each instance), in a set of expressions that are large enough so that doing it by hand is error prone.

I have trouble to solve the following simple equation with sympy.
Sympy seems to take way too lot of time.

currently I am trying to use sympy to help me derive differential algebra equations from OpenModelica(a physical simulation tool). A similar example can refer to pymoca. The physical model is not the point so it can be ignored.

Given m linear equations over n + m variables {v1, …, vn, c1, …, cm}, how can I find the center of mass (CoM) of the part of n-dimensional hyperspace defined by vi >=0 and the equations? The CoM in general will be an expression with the cj variables still free.

I’m wondering why nonlinsolve doesn’t report the known value of a when that is the only variable I request a solution to:

I’m want to solve an Equation “f(x) > y” for “x”:
Equation

These 2 differential equations taken from the book Advanced Mathematics by Mr. Spiegel, cannot be solved by Sympy. I have checked the socumentation of Sympy solving ODEs a lot. They can be solved by substituing y’= p and then sperating variables in p and y:

The evaluate_pauli_product function in the Pauli Algebra module doesn’t simplify by combining terms which have the the same “label” values specified in a different order. If I’m understanding correctly that Pauli symbols with different labels effectively describe tensor products, does it make sense for the simplification to be made?

I have the following code where Aij and Bij are matrix of Sympy expressions :

I’m trying to reproduce this paper. I’ve basically done everything and I’ve obtained the final expression of page 3. My only problem is that my implementation gets slow for larger numbers really fast.