#linear-algebra

Why Singular Value Decomposition Outperforms Eigen Decomposition

While eigenvectors identify stable directions in square matrices, Singular Value Decomposition (SVD) provides a more robust, universal framework for analyzing the rectangular matrices found in modern neural networks.