tion of N variables using a straightforward
simulated annealing algorithm.

<p>
The idea is that the variables can vary independently each within a
given interval. For each set of values generated in this way, the
function that is to be minimized is evaluated. The new set of values is
accepted as the new estimate of the minimum in two situations:

<ul>
<li>
The value of the function is lower than the current minimum

<br><br>
<li>
A generated random number is low enough, that is the expressio