Eigen-decomposition

Eigen-decomposition, also known as spectral decomposition, is a type of matrix decomposition in which a given matrix is broken down into its eigenvalues and eigenvectors. This process is fundamental in various areas of mathematics and engineering, especially for solving systems of linear equations, transforming data, or optimizing algorithms.