Thank you!
This almost worked for me as is. My desired dependent variables are [w, y].
If I just pass those, then I don't get the solution for z=1. So I did two
solves:
1. Solve with my desired dependent variables (e.g. [w, y])
2. Identify the set of variables that are not in the solution (as keys or
in the values) and add those to my list of desired dependent varaibles ([x])
3. Solve the same set of equations again with the new minimal set of
variables ([w, x, y])
Thanks for the pointer!
- Brandon
On Friday, April 9, 2021 at 4:03:48 PM UTC-4 smi...@gmail.com wrote:
> just list the variables for which you want to solve -- in this case, leave
> off the "x" and you will get
>
> ```
> >>> soln
> [{w: 0.5 - 0.5*x, y: 0.5 - 0.5*x, z: 1.00000000000000}]
>
> ```
>
> see also https://github.com/sympy/sympy/issues/2720
>
> /c
>
> On Friday, April 9, 2021 at 1:32:51 PM UTC-5 brandon...@gmail.com wrote:
>
>> Given the snippet below:
>>
>> from sympy import symbols, solve
>> w, x, y, z = symbols("w x y z")
>> equations = [
>> w + x + y - 1,
>> z - 1,
>> w/(w+y) - 0.5,
>> w/(w+y) + y/(w+y) - 1
>> ]
>> soln = solve(equations, (w, x, y, z), dict=True)[0] # accept first
>> solution
>> print(soln)
>>
>> the soln is:
>>
>> {
>> w: y,
>> x: 1.0 - 2.0*y,
>> z: 1.000
>> }
>>
>> Is there a way I can use solve or some other function in SymPy to
>> change/influence the set of independent variables? In this case, I would
>> like to prefer x to be independent (used in the expressions of the soln
>> values) instead of y.
>>
>> This is a simplified of my actual code. In practice, I don't know which
>> symbols will can be independent before I call solve, but trivial for me to
>> order the symbols in order of my preference for them to be independent, if
>> possible.
>>
>> Cheers,
>> Brandon Bocklund
>>
>
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