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Conjugate gradient optimizer

version (3.78 KB) by Sean Wu
Conjugate gradient optimizer for the unconstrained optimization of functions of n variables.


Updated 23 Mar 2015

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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.

Cite As

Sean Wu (2021). Conjugate gradient optimizer (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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