> Is it possible to capture constraints of the form

> max(a,b) - min(c,d) > X or max(e,f) - min(g,h) > Y
>  
> in glpk?

Non-linear constraints are not allowed in glpk. However, you can
reformulate them using binary variables.

Let f(t) = (if t < 0 then 0 else t). Then, obviously,

   max(p,q) = p + f(q - p)

   min(p,q) = p - f(p - q)

Assuming that t_min <= t <= t_max the function f(t) can be modeled as
follows:

   t = t1 + t2

   f = t2

   (1 - z) * t_min <= t1 <= 0

   0 <= t2 <= z * t_max

where z is a binary variable (z = 0 means that t_min <= t <= 0 and
z = 1 means that 0 <= t <= t_max).



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