Conjugate gradient optimizer
Conjugate gradient optimizer for the unconstrained optimization of functions of n variables.
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.
引用格式
Sean Wu (2026). Conjugate gradient optimizer (https://ww2.mathworks.cn/matlabcentral/fileexchange/50141-conjugate-gradient-optimizer), MATLAB Central File Exchange. 检索时间: .
