Conjugate gradient optimizer
This function returns the vector x=[x1,...xn] that results in the minimum
objective function value for the given function. Inputs are the function
fcn, the initial x0, the gradient approximation method (1= central diff,
2=fwd. diff.), n for the golden section search, the convergence tolerance
epsilon, and the maximum number of iterations, nmax.
Note that the golden section search is very sensitive to n.
Cita come
Sean Wu (2024). Conjugate gradient optimizer (https://www.mathworks.com/matlabcentral/fileexchange/50141-conjugate-gradient-optimizer), MATLAB Central File Exchange. Recuperato .
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Ispirato: Airfoil optimization using Xfoil and PARSEC geometric parameterization
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