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Repetitive solving #407

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@lrnv

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@lrnv

I have a non-increasing function $f$ on $\mathbb R_+$ that starts at $f(0) =1$ and ends up at $f(Inf) = 0$. I want to compute the inverse of the function, and I am currently using the folowing code:

f_inv(y) = find_zero(x -> f(x) - y,(0,Inf))

Then i am repetitively calling this inversion as, e.g, :

samples = rand(1e6)
f_inv.(samples)

Would it be possible to reduce the cost of subsequent evaluations ? I guess that, since this is using a bisection method, we could re-start each iteration using the previous bisection. Is there something like that implemented in Roots.jl ?

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