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Optimizer parameters

This page describes the optimization parameters.

Standard error
Optimization stops when dispersion of values falls below this value. Dispersion is defined as sum (f - mean(f))^2 For the Levenberg-Marquardt method, f is the set of function value for the last 10 iterations. For the Nelder-Mead method, f is the set of function values at the simplex vertices.
Step size
optimization stops when step size falls below specified value
Function value
optimization stops when function value falls below specified value
Iteration limit
optimization is aborted if more iterations that this
Universe radius
length of vector formed from all variable parameters must remain less than this

See also