Eigenvalue Decomposition
Eigenvalue Decomposition refers to the process of breaking down a square matrix into a set of eigenvectors and eigenvalues. This mathematical technique is commonly used in various fields such as physics, engineering, and computer science to analyze and understand the behavior of linear systems. By decomposing a matrix into its eigenvectors and eigenvalues, one can simplify complex calculations and gain insights into the underlying properties of the original matrix.