FR Conjugate Gradient Algorithm for Minimum Value Optimization

Implementation of the Fletcher-Reeves (FR) conjugate gradient algorithm for minimizing a target function y with variable x, starting from initial search point x0. Returns fm as the minimum function value and xm as the corresponding minimizing point. The algorithm utilizes gradient information and iterative direction updates for efficient convergence.