Add a side-by-side static Hinton comparison of A, B, A+B, A·B, and Aᵀ to the matrix-operations notebooks (40_linear_algebra_1/40_matrix_and_vector.ipynb and 40_linear_algebra_1/45_matrix_and_vector_numpy.ipynb).
Scope
- One small example with
A and B chosen to make structure visible (e.g., A triangular, B sparse, or one symmetric).
- Multi-panel figure: 5 Hinton subplots side by side.
- One sentence per panel describing what the structure shows.
Why
Hinton makes operations visibly structural:
A+B shows mass adding.A·B shows columns of B becoming linear combinations of columns of A.Aᵀ is a flip across the diagonal — under Hinton this is immediately readable, while under matshow it's just "different colors in different cells".
This is a different angle from #371 (which is the intro — heatmap vs Hinton on a single matrix); this issue is about operations as visual transformations.
Depends on / pairs with #371.
Add a side-by-side static Hinton comparison of
A,B,A+B,A·B, andAᵀto the matrix-operations notebooks (40_linear_algebra_1/40_matrix_and_vector.ipynband40_linear_algebra_1/45_matrix_and_vector_numpy.ipynb).Scope
AandBchosen to make structure visible (e.g.,Atriangular,Bsparse, or one symmetric).Why
Hinton makes operations visibly structural:
A+Bshows mass adding.A·Bshows columns ofBbecoming linear combinations of columns ofA.Aᵀis a flip across the diagonal — under Hinton this is immediately readable, while undermatshowit's just "different colors in different cells".This is a different angle from #371 (which is the intro — heatmap vs Hinton on a single matrix); this issue is about operations as visual transformations.
Depends on / pairs with #371.