Cholesky Decomposition is a matrix factorization technique used to decompose a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose. It is widely used in numerical analysis and optimization due to its computational efficiency and stability, especially for solving systems of linear equations and inverting matrices.