9:52
Vectors | Chapter 1, Essence of linear algebra
3Blue1Brown
9:59
Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra
10:59
Linear transformations and matrices | Chapter 3, Essence of linear algebra
10:04
Matrix multiplication as composition | Chapter 4, Essence of linear algebra
4:46
Three-dimensional linear transformations | Chapter 5, Essence of linear algebra
10:03
The determinant | Chapter 6, Essence of linear algebra
12:09
Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra
4:27
Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebra
14:12
Dot products and duality | Chapter 9, Essence of linear algebra
8:54
Cross products | Chapter 10, Essence of linear algebra
13:10
Cross products in the light of linear transformations | Chapter 11, Essence of linear algebra
12:12
Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebra
12:51
Change of basis | Chapter 13, Essence of linear algebra
17:16
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
13:13
A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra
16:46
Abstract vector spaces | Chapter 16, Essence of linear algebra
