Все публикации

0:28:44

Harvard AM205 video 5.10 - Conjugate gradient method

0:27:45

Harvard AM205 video 5.9 - Krylov methods: Arnoldi iteration and Lanczos interation

0:24:00

Harvard AM205 video 5.6 - QR algorithm

0:14:33

Harvard AM205 video 5.5 - Rayleigh quotient

0:23:49

Harvard AM205 video 5.4 - Power iteration and inverse iteration

0:27:28

Harvard AM205 video 5.3 - Gershgorin circle theorem & eigenvalue sensitivity

0:18:54

Harvard AM205 video 5.2 - Eigenvalue definitions

0:29:06

Harvard AM205 video 5.1 - Introduction to eigenvalue problems

0:08:38

Harvard AM205 video 4.12 - PDE-constrained optimization

0:21:25

Harvard AM205 video 4.11 - Penalty methods and linear programming

0:09:53

Harvard AM205 video 4.10 - Sequential quadratic programming

0:24:54

Harvard AM205 video 4.9 - Quasi-Newton methods

0:27:03

Harvard AM205 video 4.8 - Steepest descent and Newton methods for optimization

0:17:52

Harvard AM205 video 4.7 - Equality-constrained optimization

0:11:33

Harvard AM205 video 4.6 - Optimality conditions and the Hessian

0:15:48

Harvard AM205 video 4.5 - Conditions for a global minimum

0:26:35

Harvard AM205 video 4.4 - Multivariate root-finding methods

0:13:29

Harvard AM205 video 4.2 - Root finding: fixed-point iteration

0:22:26

Harvard AM205 video 4.1 - Introduction to nonlinear equations and optimization

0:15:16

Harvard AM205 video 3.22 - Elliptic PDEs: the Poisson equation

0:34:37

Harvard AM205 video 3.21 - Parabolic PDEs: the heat equation

0:13:50

Harvard AM205 video 3.20 - Method of lines & wave equation

0:40:43

Harvard AM205 video 3.19 - Accuracy and stability for finite-difference schemes

0:10:15

Harvard AM205 video 3.18 - CFL condition & upwinding