Linear Algebra, Python, Numpy, Matrix Decomposition, Eigenvectors.
essentially reducing your matrix to a product of matrices. The decomposition is done because it makes performing computations easier on the resulting matrices than on the original matrix. A common analogy for matrix decomposition is the factoring of numbers, such as the factoring of 10 into 2 x 5.