3A Matrix Addition and Subtraction-YouTube sharing.mov
4
3B Addition and Subtraction Examples-YouTube sharing.mov
5
4A Matrix Multiplication-YouTube sharing.mov
6
4B Transpose of a Matrix-YouTube sharing.mov
7
4C Properties of the Transpose
8
5A Properties of Matrix Arithmetic-YouTube sharing.mov
9
5B Commutative Law of Matrix Multiplication-YouTube sharing.mov
10
6A Matrix Reduction with Gauss Elimination-YouTube sharing.mov
11
6B Row-Echelon Forms-YouTube sharing.mov
12
6C Reduced Row-Echelon Form with Gauss-Jordan Elimination-YouTube sharing.mov
13
7A_1 Linear Algebra Definitons
14
7A_2 Linear Algebra Definitions
15
7A_3 Linear Algebra Definitions
16
7B Inverse of a Matrix-YouTube sharing.mov
17
7C Inverse of a Matrix Example 1-YouTube sharing.mov
18
7C Inverse of a Matrix Example 2-YouTube sharing.mov
19
7C Inverse of a Matrix Example 3-YouTube sharing.mov
20
7C Inverse of a Matrix Example 4-YouTube sharing.mov
21
7D Matrix Exponents
22
7E The Elementary Matrix
23
7F Diagonal Triangular Symmetric Matrices
24
8 Row and Column Views of a Matrix
25
9A_1 The Inverse of a Matrix
26
9A_2 The Inverse of a Matrix Using the Idenity Matrix
27
9A_3 The Inverse of a Matrix Using the Identity Matrix
28
9A_4 The Inverse of a Matrix Using the Determinant
29
9A_5 The Inverse of a Matrix Cramer Method
30
9B The Determinant
31
9C The Determinant
32
9D The Determinant
33
9E The Determinant
34
9F The Determinant
35
9G The Determinant
36
9H The Determinant
37
10A An Introduction to Eigenvalues and Eigenvectors
38
11A Introduction to Vectors
39
11B Introduction to Vectors
40
11C The Norm of a Vector
41
11D The Norm of a Vector
42
11E The Dot Product
43
11F The Dot Product
44
11G The Dot Product
45
11H Orthogonal Projection of a Vector
46
11I Orthogonal Projection of a Vector
47
11J Orthogonal Projection of a Vector
48
11K More Example of Dot Product and Orthogonal Projections
49
11L More Example of Dot Product and Orthogonal Projections
50
11M The Cross Product
51
11N The Cross Product
52
11O The Cross Product
53
11P The Cross Product
54
11Q The Cross Product
55
11R The Cross Product
56
11S The Cross Product
57
12A Equations of a Plane
58
12B Plane Geometry
59
12C Plane Geometry
60
12D Plane Geometry
61
12E Plane Geometry
62
12F Plane Geometry
63
12G Plane Geometry
64
12H Plane Geometry
65
12I Plane Geometry
66
12J Plane Geometry
67
12K Additional Plane Geomtery Facts.flv
68
12L Additional Plane Geometry Facts.flv
69
12M Additional Plane Geometry Facts
70
13A Vectors in n Space
71
13B Vectors in n Space
72
13C Norm and Distance in Euclidean n Space
73
13D Orthogonality
74
13E A Matrix Equation for the Dot Product
75
13F Example Problems for Euclidean n Space
76
14A Introduction to Complex Numbers
77
14B Complex Number Multiplication
78
14C Matrices with Complex Number Elements
79
14D Sample Problems
80
14E Division of Complex Numbers
81
14F Division of Complex Numbers
82
14G Division of Complex Numbers
83
14H Division of Complex Numbers
84
14I Division of Complex Numbers
85
14J Polar Form of Complex Numbers and the nth Root
86
14K Polar Form of Complex Numbers and the nth Root
87
14L Polar Form of Complex Numbers and the nth Root
88
14M Polar Form of Complex Numbers and the nth Root
89
14N Polar Form of Complex Numbers and the nth Root
90
14O The nth Root of a Number
91
14P The nth Root of a Number
92
14Q The nth Root of a Number
Description:
Dive into a comprehensive 14-hour course on Linear Algebra, covering fundamental concepts and advanced topics. Begin with elementary linear algebra and matrix operations, including addition, subtraction, multiplication, and transposition. Learn about Gauss elimination, row-echelon forms, and Gauss-Jordan elimination for solving systems of equations. Explore matrix inverses, determinants, and eigenvalues. Study vectors, including dot products, cross products, and orthogonal projections. Delve into plane geometry and equations of planes. Examine vectors in n-dimensional space and Euclidean geometry. Conclude with an introduction to complex numbers, their operations, and polar form representations. Master essential linear algebra skills through numerous examples and problem-solving exercises throughout the course.