Harvard AM205 video 4.1 - Introduction to nonlinear equations and optimization
Harvard AM205 video 4.10 - Sequential quadratic programming
Harvard AM205 video 4.7 - Equality-constrained optimization
Graphical Demonstration of Adding Uncertainty in Quadrature for Gaussian-Distributed Variables
Harvard AM205 video 5.1 - Introduction to eigenvalue problems
Harvard AM205 video 4.11 - Penalty methods and linear programming
Harvard AM205 video 4.4 - Multivariate root-finding methods
Harvard AM205 video 4.9 - Quasi-Newton methods
Harvard AM205 video 3.22 - Elliptic PDEs: the Poisson equation
4.1 part 2 and 4.2 Methods of Applied Mathematics
Derivation of 4-point explicit scheme for solving Heat Equation
Harvard AM 205 video 0.0 - Course logistics (Fall 2020)
SFA (Stochastic Frontier Analysis) In Gretl
Linear Optimization Models – Maximization Example in Excel
Constrained Multivariate Optimisation Example
Choosing Initial Parameter Values for Nonlinear Regression
4.1 Introduction Methods of Applied Mathematics
Yoram Singer (Princeton) -- Memory-Efficient Adaptive Optimization for Humongous-Scale Learning
Linear and Nonlinear Optimization
Nonlinear and linear systems and solvers
