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Overview: A geometric understanding of matrices, determinants, eigen-stuffs and more. |
Vectors, what even are they? (S1E1)8/6/2016
Linear combinations, span, and basis vectors (S1E2)8/7/2016
Linear transformations and matrices (S1E3)8/7/2016
Matrix multiplication as composition (S1E4)8/9/2016
Three-dimensional linear transformations (S1E5)8/10/2016
The determinant (S1E6)8/11/2016
Inverse matrices, column space and null space (S1E7)8/16/2016
Nonsquare matrices as transformations between dimensions (S1E8)8/16/2016
Dot products and duality (S1E9)8/24/2016
Cross products (S1E10)9/1/2016
Cross products in the light of linear transformations (S1E11)9/3/2016
Cramer's rule, explained geometrically (S1E12)3/17/2019
Change of basis (S1E13)9/11/2016
Eigenvectors and eigenvalues (S1E14)9/15/2016
A quick trick for computing eigenvalues (S1E15)5/7/2021
Abstract vector spaces (S1E16)9/24/2016 |