Cholesky factorization is a method used to decompose a symmetric positive definite matrix into a product of a lower triangular matrix and its conjugate transpose. This technique is particularly useful in solving systems of linear equations, optimization problems, and in the context of numerical methods where efficient computation is critical. The Cholesky factorization serves as a specialized form of LU factorization, simplifying the calculations by leveraging the properties of symmetric matrices.
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