Matrix Factorization, Matrix Decomposition, Svd, Singular Values, Mathematics.
finding the eigenvectors of A and A^().A, respectively. Through this process, the complete SVD of A is obtained. Although this example is relatively simple, it reveals the fundamental idea behind SVD. For larger and more complex matrices in practical applications, numerical methods and computer