Все публикации

0:50:35

section 1.7:Linear Independence.

0:29:40

(sec5.3) : Diagonalization

0:19:17

(sec5.2) :The characteristic equation

0:30:06

(sec5.1):Eigenvectors and eigenvalues.

0:26:30

(sec3.3): Cramer's Rule, Volume, and Linear Transformations.

0:47:05

(sec3.2): Properties of Determinants

0:38:04

(sec3.1): Introduction to Determinants

0:09:31

(sec4.7): Change of Basis

0:32:58

(sec4.6): Rank

0:44:23

(sec4.5): The Dimension of a Vector Space

0:29:22

(sec4.4):Coordinate Systems

0:25:08

(sec4.3): Linearity independent sets: Bases

0:50:48

(sec4 .2): Null & Column Spaces, Linear Transformations.

0:48:24

(sec4.1): Vector Spaces and Subspaces

0:14:13

(sec2.5): Matrix Factorizations

0:56:53

(sec2:3) Characterizations of invertible matrices

0:42:10

(sec2 .2): The inverse of a matrix

0:36:57

(sec2.1): Matrix Operation

0:55:56

sec1.9: The matrix of a linear transformation

0:40:14

(sec1.8): Introduction to Linear Transformation.

0:38:34

Sec1.7: Linear Independence

0:51:09

(sec1.5): Solution Sets Of Linear System

1:02:00

(sec1. 4):The Matrix Equation Ax=b

0:46:31

(sec1.3) Vector Equations