The Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm is an effective and widely used method for solving unconstrained optimization problems. By iteratively approximating the inverse Hessian matrix, BFGS achieves efficient convergence without requiring the explicit computation of second derivatives. Its performance is highly dependent on the choice of the initial guess and the line search strategy.