Все публикации

0:28:08

SVD applications: low-rank approximation and PCA

0:39:25

SVD factorization

0:19:40

Special matrices: Toeplitz and nilponent

0:36:42

Special matrices: permutation, stochastic, Vandermonde, companion

0:36:32

Special matrices: unitoary, orthogonal, projection

0:27:25

Orthonormal basis and Gram-Schmidt algorithm

0:40:51

Orthogonal projection: definition, procedure, and examples

0:23:05

Orthogonality for inner product space

0:24:35

Induced norm, Cauchy-Swarz inequality, and cosine similarity

0:25:50

Inner product space

0:50:06

Quadratic function of vectors and symmetric matrices

0:45:02

Normed vector space: definition and examples of vector and matrix norms

0:32:55

Characteristic function [Eng]

0:29:35

Moment generating function [Eng]

0:42:59

Function of random variables: affine, quadratic, log, general

0:20:50

Matrix inversion lemma and pseudo inverse

0:19:57

Schur complement in applications

0:33:24

Positive definite matrix: definition and its square root

0:08:36

[Thai] Grad courses that Jitkomut teaches in semester 1 at Chula.

0:13:46

Book review by Jitkomut: Optimization Models (Calafiore & Ghaoui) [THAI]

0:09:42

Book review by Jitkomut: Convex Optimization (Boyd & Vandenberghe)

0:02:11

Class promo: CUEE511, Optimization in Engineering and ML [THAI]