Math - Gram Schmidt Orthogonolization And QR Decomposition
Gram Matrix; Super useful in finding forming an orthogonal vector basis, e.g., Singular Value Decomposition
Background Knowledge
Glossary
Inner product: $<a,b> = \vec{a}^T \cdot \vec{b}$, which is a.k.a “dot product”
Outer product: $a \otimes b = \vec{a} \cdot \vec{b}^T$, which results in a ...
