MIT Linear Algebra Lectures

1. 31 Change of basis; image compression.flv198.43MB
2. 29 Singular value decomposition.flv197.61MB
3. 24 Markov matrices; fourier series.flv191.05MB
4. 19 Determinant formulas and cofactors.flv189.3MB
5. 23 Differential equations and exp(At).flv188.73MB
6. 17 Orthogonal matrices and Gram-Schmidt.flv188.14MB
7. 20 Cramer's rule, inverse matrix, and volume.flv183.23MB
8. 3 Multiplication and inverse matrices.flv182.38MB
9. 21 Eigenvalues and eigenvectors.flv181.39MB
10. 27 Positive definite matrices and minima.flv181.09MB
11. 18 Properties of determinants.flv180.78MB
12. 22 Diagonalization and powers of A.flv180.07MB
13. 14 Orthogonal vectors and subspaces.flv177.25MB
14. 32 Quiz 3 review.flv171.33MB
15. 30 Linear transformations and their matrices.flv171.06MB
16. 12 Graphs, networks, incidence matrices.flv170.35MB
17. 6 Column space and nullspace.flv168.49MB
18. 9 Independence, basis, and dimension.flv168.04MB
19. 13 Quiz 1 review.flv165.57MB
20. 24b Quiz 2 review.flv165.52MB
21. 5 Transposes, permutations, spaces R^n.flv164.99MB
22. 16 Projection matrices and least squares.flv163.94MB
23. 2 Elimination with matrices.flv162.61MB
24. 11 Matrix spaces; rank 1; small world graphs.flv161.4MB
25. 7 Solving Ax = 0 pivot variables, special solutions.flv159.79MB
26. 8 Solving Ax = b row reduced form R.flv157.96MB
27. 10 The four fundamental subspaces.flv157.6MB
28. 15 Projections onto subspaces.flv157.46MB
29. 1 The geometry of linear equations.flv157.28MB
30. 28 Similar matrices and jordan form.flv156.88MB
31. 26 Complex matrices; fast fourier transform.flv154.29MB
32. 33 Left and right inverses; pseudoinverse.flv153.86MB
33. 34 Final course review.flv153.04MB
34. 25 Symmetric matrices and positive definiteness.flv151.93MB
35. 4 Factorization into A = LU.flv115.33MB