Linear algebra minicourses, a la carte
Perhaps the second row conclucludes with least squares; with Linear-Transformations-and-Abstract-Vector-Spaces taking an essenitally algebraic point of view, Geometry taking a geometric point of view, and Eigenvectors-and-eigenvalues taking a data/stats point of view.
graph TD;
Matrix-Methods --> Linear-Transformations-and-Abstract-Vector-Spaces;
Matrix-Methods --> Geometry;
Matrix-Methods --> Eigenvectors-and-eigenvalues;
Linear-Transformations-and-Abstract-Vector-Spaces --> LLM;
Geometry --> LLM;
Eigenvectors-and-eigenvalues ---> LLM;
Linear-Transformations-and-Abstract-Vector-Spaces --> Markov-Chains;
Geometry --> Markov-Chains;
Eigenvectors-and-eigenvalues ---> Markov-Chains;
Linear-Transformations-and-Abstract-Vector-Spaces --> Proofs;
Geometry --> Proofs;
Eigenvectors-and-eigenvalues ---> Proofs;
Linear-Transformations-and-Abstract-Vector-Spaces --> Spreadsheets;
Geometry --> Spreadsheets;
Eigenvectors-and-eigenvalues ---> Spreadsheets;
Linear-Transformations-and-Abstract-Vector-Spaces --> Octave;
Geometry --> Octave;
Eigenvectors-and-eigenvalues ---> Octave;