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My top favorite of my answers (sorted with easiest to understand first): rank 2: Matrix Representation 3-D Imaging: simplifying equations Sub-Matrix: Efficient Inverse QR: Fundamental Subspaces Sylvester Equation: Explicit $2 \times 2$ Pseudo-inverse: Efficient and simple calculation Unitary Similarity: python code to "hollow a matrix" Furthest in angle vector: "Box Rotation" Also: norm as symmetric and skew symmetric
