Matrix decomposition
Vector spaces
Linear span
Linear transformation
Linear independence
Linear combination
Basis
Column space
Row space
Dual space
Orthogonality
Eigenvector
Eigenvalue
Least squares regressions
Outer product
Cross product
Dot product
Transpose
Matrix decomposition
For example, the singular value decomposition for matrix M is
Most common matrix decompositions are: