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In numerical analysis, condition number refers to a measure of how strongly relative errors in a problem's data can be magnified in its solution, introduced for rounding error in matrix work. This meaning comes from Turing (1948) in The Quarterly Journal of Mechanics and Applied Mathematics.[1]
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