• Apr 13, 2026 numerical methods for unconstrained optimization a to approximate the Hessian matrix to reduce computational load while maintaining rapid convergence. The most famous among these is the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. Key features: Updates an approximation of the inverse Hessian a By Brendan Reilly
