Linear Algebra, Python, Numpy, Matrix Decomposition, Eigenvectors.
matrix A into a matrix denoted by U, where each column represents an eigenvector of matrix A. The eigenvalues are stored as a diagonal matrix denoted by Λ. We can rewrite the above equation as: 𝐴𝑈=Λ𝑈 Solving for A, we get the equation: 𝐴=𝑈Λ𝑈−1 This gives us the eigendecomposition of matrix A.