19:05
Linear Algebra 01: Matrices
Jonathan Evans
21:16
Linear Algebra 02: Examples
24:01
Linear Algebra 03: Bigger matrices
11:14
Linear Algebra 04: Matrix multiplication, 1
9:14
Linear Algebra 05: Matrix multiplication, 2
11:43
Linear Algebra 06: Matrix multiplication, 3
10:09
Linear Algebra 07: Index notation
12:49
Linear Algebra 08: Other operations
9:47
Linear Algebra 09: Dot products
9:09
Linear Algebra 10: Dot product, 2 - transposition
15:14
Linear Algebra 11: Dot products, 3 - orthogonal matrices
17:41
Linear Algebra 12: Rotations
18:53
Linear Algebra 13: Simultaneous equations and row operations
10:31
Linear Algebra 14: Echelon form
14:16
Linear Algebra 15: Reduced echelon form
14:17
Linear Algebra 16: Echelon examples
11:07
Linear Algebra 17: Geometric viewpoint on simultaneous equations
15:30
Linear Algebra 18: Geometric viewpoint on simultaneous equations, 2
16:47
Linear Algebra 19: Subspaces
14:13
Linear Algebra 20: Inverses
18:47
Linear Algebra 21: Inverses, examples
13:41
Linear Algebra 22: Elementary matrices, 1
12:25
Linear Algebra 23: Elementary matrices, 2
22:35
Linear Algebra 24: Determinants
18:55
Linear Algebra 25: Properties of determinants
Linear Algebra 26: Determinants, examples
15:04
Linear Algebra 27: Further properties of determinants
22:16
Linear Algebra 28: Cofactor expansion
9:11
Linear Algebra 29: Geometry of determinants, 1
13:11
Linear Algebra 30: Geometry of determinants, 2
13:02
Linear Algebra 31: Eigenvectors and eigenvalues
13:23
Linear Algebra 32: Finding eigenvalues
18:58
Linear Algebra 33: Eigenexamples
12:39
Linear Algebra 34: Eigenspaces
17:59
Linear Algebra 35: Eigenapplications, 1. Differential equations
25:11
Linear Algebra 36: Eigenapplications, 2. Ellipses
19:45
Linear Algebra 37: Eigenapplications, 3. Dynamics
16:14
Linear Algebra 38: Linear maps
21:04
Linear Algebra 39: Kernels
22:01
Linear Algebra 40: Images
29:36
Linear Algebra 41: Vector spaces
Sign of a permutation
7:10
Determinants and volume, revisited
