Matrix Decomposition

Decomposing Linear Operators is often useful as a way of building proofs and simplifying calculations. There are different ways of decomposing matrices, i.e. Linear Operators in finite dimensional spaces:

• Polar decomposition
• LU decomposition
• singular value decomposition
• rank factorization
• Cholesky Decomposition
• QR decomposition
• Eigendecomposition