Function for slider with minimum, maximum and "midpoint" value I'm trying to create a slider that lets the user pick a value as low as some given minimum, or as high as some given maximum. The slider must also, when positioned half way, have a value that is some given "mid point".
So I'm looking for an increasing function $f(x) : [0,1] \to \mathbb{R}$ such that
$f(0)=k_{\mathrm{min}}$
$f(\frac{1}{2})=k_{\mathrm{mid}}$
$f(1)=k_{\mathrm{max}}$
for any $k_{\mathrm{max}} ≥ k_{\mathrm{mid}} ≥ k_{\mathrm{min}}$.
What could I choose? My first thought was a quadratic, since I have three unknowns, but this was non-inreasing for some values.
Thanks.
 A: There are many ways of fitting a function to your requirements. Here is one particular way, which assumes some sort of power law type distribution between the min and the max values. 
We first define the case where the min is 0 and the max is 1. Then we can set
$$ f(x; k_{\mathrm{min}}, k_{\mathrm{max}}, k_{\mathrm{mid}}) = k_{\mathrm{min}} + (k_{\mathrm{max}} - k_{\mathrm{min}})\cdot f(x; 0,1, k) $$
where
$$ k = (k_{\mathrm{mid}} - k_{\mathrm{min}}) / (k_{\mathrm{max}} - k_{\mathrm{min}}) $$
Now we consider the function $g(x) = x^p$. This function satisfies $g(0) = 0$, $g(1) = 1$, and it is guaranteed to be increasing between 0 and 1. It suffices to find the $p$ such that $g(1/2) = k$. We solve:
$$ (1/2)^p = k \iff p = - \log_2 k $$
So in the end we can take the function 
$$  f(x; k_{\mathrm{min}}, k_{\mathrm{max}}, k_{\mathrm{mid}}) = k_{\mathrm{min}} + (k_{\mathrm{max}} - k_{\mathrm{min}}) x^{\log_2 (k_{\mathrm{max}} - k_{\mathrm{min}}) - \log_2 (k_{\mathrm{mid}} - k_{\mathrm{min}})} $$
