fminsearch2

Modified Unconstrained Optimization with better starting point selection

This is a (small) change to the current fminsearch routine to improve convergence.

The current fminsearch selects n additional simplex points based on a small change in each variable. This implementation uses an adaptive procedure to select these n points while maintaining the correct relative distance to the centroid of the remaining points.

Changing these initial points gave 11% fewer runs and reached the correct solution 6% more on the test suite by More et al.