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#!/usr/bin/env python
# Python TNC example
# @(#) $Jeannot: example.py,v 1.4 2004/04/02 18:51:04 js Exp $
from __future__ import division, print_function, absolute_import
import tnc
# A function to minimize
# Must return a tuple with the function value and the gradient (as a list)
# or None to abort the minimization
def function(x):
f = pow(x[0],2.0)+pow(abs(x[1]),3.0)
g = [0,0]
g[0] = 2.0*x[0]
g[1] = 3.0*pow(abs(x[1]),2.0)
if x[1] < 0:
g[1] = -g[1]
return f, g
# Optimizer call
rc, nf, x = tnc.minimize(function, [-7, 3], [-10, 1], [10, 10])
print("After", nf, "function evaluations, TNC returned:", tnc.RCSTRINGS[rc])
print("x =", x)
print("exact value = [0, 1]")
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