Harvard AM205 video 2.1 - Introduction to numerical linear algebra
Harvard AM205 video 5.9 - Krylov methods: Arnoldi iteration and Lanczos interation
Harvard AM205 video 2.2 - Norms
Harvard AM205 video 1.2 - Interpolating discrete data
Harvard AM205 video 1.8 - Nonlinear least squares
Harvard AM205 video 2.3 - The residual
Harvard AM205 video 3.22 - Elliptic PDEs: the Poisson equation
Introduction To Numerical Method
Harvard AM205 video 5.4 - Power iteration and inverse iteration
Harvard AM205 video 3.21 - Parabolic PDEs: the heat equation
Lecture15: 2.1 GMRES, Lanczos, Conjugate Gradient, Kazcmarz, Math405: Learning from Data
Harvard AM205 video 4.7 - Equality-constrained optimization
Line Fitting With Least Squares- Linear Algebra
Harvard AM205 video 5.3 - Gershgorin circle theorem & eigenvalue sensitivity
Applied Linear Algebra: Implementing randomized LA
IEE 475: Lecture A2 (2022-08-25): Introduction to Simulation Modeling
Structured Gaussian Elimination - Computational Linear Algebra
Harvard AM205 video 4.2 - Root finding: fixed-point iteration
Modern computational methods in physics part 1: Diagonalization
V10.01: Optimization with Multiple Constraints Example 1
