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0:23:56
4.1 General Vector Spaces and Subspaces part B
0:43:08
4.1 General Vector Spaces and Subspaces part A
0:53:29
3.4 Eigenvalues and Eigenvectors
0:19:46
3.2 Properties of Determinants
0:29:46
3.1 Intro to Determinants
0:28:48
3.3 Determinants, Matrix Inverses, and Linear Systems.
0:56:45
2.5 Matrix Transformations, Rotations, and Dilations
0:25:00
2.6 Linear Transformations
0:51:47
2.4 Matrix Inverses
0:41:39
2.3 Symmetric, Complex, and Hermitian Matrices
0:51:03
2.2 Properties of Matrix Operations
0:58:37
2.1 Matrix Addition, Scalar Multiplication, & Matrix Multiplication
0:11:42
1.7 Curve Fitting
0:42:53
1.6 Dot Product, Norm, Angle, & Distance
0:45:01
1.5 Basis and Dimension
1:07:14
1.3 The Vector Space R^n
0:49:11
1.4 Subspaces of R^n
0:55:44
1.2 Gauss-Jordan Elimination
0:27:06
7.1 Gaussian Elimination
0:52:31
1.1 Matrices and Linear Systems
0:58:10
6 4 Least Squares Solutions
1:01:47
6 3 Approximation of Functions
0:51:22
6 1 Inner Product Spaces
1:00:14
5 3 Diagonalization of Matrices
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