Arrays
C arrays
C arrays
Before we talk about eigenvalues and eigenvectors let us just remind ourselves that vectors can be transformed using matrices. For example we can rotate a vector using the rotation matrix:
The eigendecomposition only works for square matrices, the singular value decomposition, short SVD, is a generalization of the eigendecomposition allowing it to be used for rectangular matrices. Singular value decomposition uses 3 matrices just like the eigendecomposition.