Math Representation of Objective and Constraint Functions

[akruel01]

! Not entirely necessary this is just for Demos !
Can use sympy.latex(S("lambda function")) for most of the lambdas we represent.

Turns:

Optimize(objective   =lambda x: abs(old_beta-x), # minimize difference
             constraints =[{'type':"ineq",'function':lambda x: x >= 0}, #  low bound
                           {'type':"ineq",'function':lambda x: x <= 1}, # high bound
                           {"type":"ineq","function":lambda x: 0.05 - GETRISK(x)}] )

Into:

$$\begin{array}{rl}\texttt{minimize}& \beta \\
\texttt{such that} & P(Hospitalizations(t)_{do(\beta)} < 3000) < p \\
 & 0 \leq \beta \leq 1 \end{array}$$

[anirban-chaudhuri]

It is not clear to me where we want to use this. We might be able to use this to provide intermediate feedback to the user on whether they have formulated the desired optimization problem.