`scipy.optimize._cobyla_py:_minimize_cobyla`

source: /scipy/optimize/_cobyla_py.py :186

Signature

   def     _minimize_cobyla (    fun    ,    x0    ,    args    =  ()   ,    constraints    =  ()   ,    rhobeg    =  1.0   ,    tol    =  0.0001   ,    maxiter    =  1000   ,    disp    =  0   ,    catol    =  None   ,    f_target    =  -inf   ,    callback    =  None   ,    bounds    =  None   ,   ** unknown_options      )

Summary

Minimize a scalar function of one or more variables using the Constrained Optimization BY Linear Approximation (COBYLA) algorithm. This method uses the pure-python implementation of the algorithm from PRIMA.

Parameters

rhobeg : float

Reasonable initial changes to the variables.

tol : float

Final accuracy in the optimization (not precisely guaranteed). This is a lower bound on the size of the trust region.

disp : int

Controls the frequency of output:

(default) There will be no printing
A message will be printed to the screen at the end of iteration, showing the best vector of variables found and its objective function value
in addition to 1, each new value of RHO is printed to the screen, with the best vector of variables so far and its objective function value.
in addition to 2, each function evaluation with its variables will be printed to the screen.

maxiter : int

Maximum number of function evaluations.

catol : float

Tolerance (absolute) for constraint violations

f_target : float

Stop if the objective function is less than f_target.

Aliases

scipy.optimize._cobyla_py._minimize_cobyla