Background
Let's say I have a system of equations (e.g. thermodynamics equations), where the "knowns" and "unknowns" are subject to change, and the system of equations can also change based on e.g. the type of thermodynamic process (isothermal, isobaric, isochoric, adiabatic).
Knowns and Unknowns Subject to Change
Take $PV=nRT$. Case 1: If I know $P$, $V$, $n$, and $R$, then $T\rightarrow\frac{PV}{nR}$. Case 2: I know $V$, $T$, $n$, $R$, then $P\rightarrow\frac{nRT}{V}$.
The "Hard-Coded" Solution
An easy solution is:
eqn = P V = n R T;
soln1 = Solve[eqn, T];
soln2 = Solve[eqn, P];
but this can become overwhelming with many input and output variables and especially if the systems of equations are also subject to change.
Question
How do I make make a general solver that takes a system of equations and whatever inputs are supplied (with units) and outputs the best attempt at a solution based on those inputs?
Some SE examples
I think this kind of approach is applicable to the following examples:
- Work done in Isobaric Process
- Answer to Comparison between isobaric, isothermal and adiabatic expansion
- Finding the Enthalpy of an Ideal Gas given internal energy
- Adiabatic proccess and Carnot cycle in a photon gas
- A simple thermodynamic question
Update
2020-09-19 I finally came across two related SE questions: