Written by: Oskar Tengberg, 2019
		https://github.com/MrTengil

Function "nonlinmin()" minimizes an n-dimensional function with the Newton method using the first and second derivative (gradient and hessian) of the function. The objective function must be continuous, non-linear and must be twice derivable.

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The file "problem.py" is an example on how to use the minimzation function "nonlinmin()".