Numerical accuracy refers to the closeness of a computed or measured value to its true value. It is essential in numerical methods because errors can accumulate, impacting the reliability of results, especially in iterative processes like factorization. This aspect is crucial when evaluating the stability and performance of algorithms used in matrix computations.
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