Abstract Linear Algebra II
Cholesky decomposition is a mathematical method that breaks down a positive definite matrix into the product of a lower triangular matrix and its conjugate transpose. This technique is particularly useful in simplifying calculations in numerical analysis, especially for solving systems of linear equations, optimizing problems, and performing simulations. The Cholesky decomposition provides an efficient way to work with positive definite matrices by making computations more manageable.
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