Sets the number of intermediate "safety" points to be used in the case of solving a unidimensional global optimization problem.
The purpose of the parameters is to ensure that the advance steps do not get to
large. The larger the parameter given the less likely we are to miss any local extremum
in the search for the global extremum. We provide this parameter with a default value of
100, which is a reasonable value in most instances. However, as is the
case with most model parameters this parameter is provided to allow you to fine tune
the algorithm for your particular problem at hand. If you decide to fine tune this
parameter then it a certain amount of trial and error may be necessary.
Remark: In this instance the number of subintervals play the role of the initial point within local optimizations problems.
EasySolver Class | WebCab.COM.Math.Optimization Namespace