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Linear Algebra
Complete course on linear algebra concepts including vectors
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1. The Geometry of Linear Equations
39:49
2. Elimination with Matrices
47:41
3. Multiplication and Inverse Matrices
46:49
4. Factorization into A = LU
47:42
5. Vector Spaces and Subspaces
37:35
6. Column Space and Nullspace
37:35
7. Solving Ax = 0: Pivot Variables, Special Solutions
52:45
8. Solving Ax = b: Row Reduced Form R
49:36
9. Independence, Basis, and Dimension
38:28
Vectors | Chapter 1, Essence of linear algebra
09:52
Linear combinations, span, and basis vectors
10:03
Linear transformations and matrices
10:59
Matrix multiplication as composition
10:45
Three-dimensional linear transformations
05:54
Introduction to vectors | Linear Algebra
09:01
Linear combinations and span | Linear Algebra
11:43
Linear dependence and independence | Linear Algebra
10:51
Subspaces and the basis for a subspace | Linear Algebra
09:21
Vector dot and cross products | Linear Algebra
12:22
Linear Algebra

This lecture covers 3. Multiplication and Inverse Matrices. Part of MIT’s Linear Algebra course series. Credit: MIT OpenCourseWare (YouTube/UCEBb1b_L6zDS3xTUrIALZOw)

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