Matrix factorization and matrix decomposition both refer to the process of breaking down a matrix into two or more simpler matrices. Matrix decomposition, however, is a broader term that encompasses various decomposition techniques, such as SVD, LU decomposition, Cholesky decomposition, QR decomposition, etc. Each of these techniques imposes specific requirements on the resulting matrices, depending on the nature of the problem and the type of decomposition used.