Harvard AM205 video 4.9 - Quasi-Newton methods
Harvard AM205 video 4.8 - Steepest descent and Newton methods for optimization
Harvard AM205 video 5.9 - Krylov methods: Arnoldi iteration and Lanczos interation
Harvard AM205 video 4.6 - Optimality conditions and the Hessian
Harvard AM205 video 4.4 - Multivariate root-finding methods
Harvard AM205 video 4.11 - Penalty methods and linear programming
Harvard AM205 video 2.10 - Givens rotations
Harvard AM205 video 4.10 - Sequential quadratic programming
Harvard AM205 video 4.1 - Introduction to nonlinear equations and optimization
Harvard AM205 video 4.12 - PDE-constrained optimization
Harvard AM205 video 5.10 - Conjugate gradient method
Harvard AM205 video 2.3 - The residual
Broyden's Method
Understanding scipy.minimize part 1: The BFGS algorithm
What is...the Gershgorin circle theorem?
The Semismooth Newton Method
Newton algorithm with line search
L-BFGS in High Dimensions: Evaluating a Heuristic for Selecting m Storage Pairs
Broyden's Method Part 1
Fletcher-Reeves method
