### 1.17 A simulated annealing (stochastic) optimizer

This simulated annealing algorithm implicitely honours bound constraints.

#### Helptext:

    samin: simulated annealing minimization of a function. See samin_example.m

    usage: [x, obj, convergence, details] = samin("f", {args}, {control})

    Arguments:
    * "f": function name (string)
    * {args}: a cell array that holds all arguments of the function,
    * {control}: a cell array with 11 elements
            * LB  - vector of lower bounds
            * UB - vector of upper bounds
            * nt - integer: # of iterations between temperature reductions
            * ns - integer: # of iterations between bounds adjustments
            * rt - (0 < rt <1): temperature reduction factor
            * maxevals - integer: limit on function evaluations
            * neps - integer:  number of values final result is compared to
            * functol -   (> 0): the required tolerance level for function value
                               comparisons
            * paramtol -  (> 0): the required tolerance level for parameters
            * verbosity - scalar: 0, 1, or 2.
                    * 0 = no screen output
                    * 1 = only final results to screen
                    * 2 = summary every temperature change
            * minarg - integer: which of function args is minimization over?

    Returns:
    * x: the minimizer
    * obj: the value of f() at x
    * convergence:
            0 if no convergence within maxevals function evaluations
            1 if normal convergence to a point interior to the parameter space
            2 if convergence to point very near bounds of parameter space
              (suggest re-running with looser bounds)
    * details: a px3 matrix. p is the number of times improvements were found.
               The columns record information at the time an improvement was found
               * first: cumulative number of function evaluations
               * second: temperature
               * third: function value

    Example: see samin_example