Harvard AM205 video 4.1 - Introduction to nonlinear equations and optimization
Harvard AM205 video 4.6 - Optimality conditions and the Hessian
Harvard AM205 video 4.8 - Steepest descent and Newton methods for optimization
Harvard AM205 video 4.9 - Quasi-Newton methods
Harvard AM205 video 4.10 - Sequential quadratic programming
Harvard AM205 video 0.1 - Introduction
Harvard AM205 video 4.11 - Penalty methods and linear programming
Harvard AM205 video 4.4 - Multivariate root-finding methods
Harvard AM205 video 3.19 - Accuracy and stability for finite-difference schemes
Harvard AM 205 video 0.0 - Course logistics (Fall 2020)
Harvard AM205 video 3.22 - Elliptic PDEs: the Poisson equation
Applications of Non Linear Systems Notes
4.1 part 2 and 4.2 Methods of Applied Mathematics
Nonlinear and linear systems and solvers
Michael Brenner - Identities About Self Assembly (December 11, 2013)
Choosing Initial Parameter Values for Nonlinear Regression
Stiffness - Differential Equations in Action
Optimisation
Lecture 26 - Short Intro to Numerical PDEs
Chapter 12: Ordinary Differential Equations (Part 4.1 - Stiffness)
