The BFGS algorithm is a popular iterative method used for solving unconstrained nonlinear optimization problems by approximating the inverse Hessian matrix, enhancing convergence. It is valued for its ability to handle large-scale problems efficiently without needing to compute the exact Hessian, making it a robust choice in various scientific and engineering applications.