Course Introduction | MIT 18.06SC Linear Algebra
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Course Introduction | MIT 18.06SC Linear Algebra
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1. The Geometry of Linear Equations
39:49
1. The Geometry of Linear Equations
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9. Independence, Basis, and Dimension
50:14
9. Independence, Basis, and Dimension
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2. Elimination with Matrices.
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2. Elimination with Matrices.
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4. Factorization into A = LU
48:05
4. Factorization into A = LU
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19. Determinant Formulas and Cofactors
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19. Determinant Formulas and Cofactors
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15. Projections onto Subspaces
48:51
15. Projections onto Subspaces
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7:34
An Interview with Gilbert Strang on Teaching Linear Algebra
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1:05:09
Gil Strang's Final 18.06 Linear Algebra Lecture
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46:49
3. Multiplication and Inverse Matrices
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47:42
5. Transposes, Permutations, Spaces R^n
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43:52
Lec 25 | MIT 18.06 Linear Algebra, Spring 2005
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49:48
14. Orthogonal Vectors and Subspaces
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49:12
18. Properties of Determinants
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51:03
23. Differential Equations and exp(At)
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40:29
29. Singular Value Decomposition
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51:01
20. Cramer's Rule, Inverse Matrix, and Volume
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46:01
6. Column Space and Nullspace
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49:10
17. Orthogonal Matrices and Gram-Schmidt
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47:20
8. Solving Ax = b: Row Reduced Form R
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49:20
10. The Four Fundamental Subspaces
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50:40
27. Positive Definite Matrices and Minima
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43:52
25. Symmetric Matrices and Positive Definiteness
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51:23
21. Eigenvalues and Eigenvectors
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16. Projection Matrices and Least Squares
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47:57
12. Graphs, Networks, Incidence Matrices
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49:27
30. Linear Transformations and Their Matrices
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43:26
34. Final Course Review
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8:10
Basis and Dimension | MIT 18.06SC Linear Algebra, Fall 2011
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24b. Quiz 2 Review
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