| 11. | The following shows the approximations and their absolute and relative errors for both methods of approximation.
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| 12. | More accurate approximation for the force-extension behavior with about 1 % relative error is:
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| 13. | All these numbers round to 1 with relative error a / ( 1 + a ).
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| 14. | Another application is in the computation of approximation errors when the relative error of a measurement is required.
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| 15. | When the percentage or relative error is normally distributed, least squares percentage regression provides maximum likelihood estimates.
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| 16. | The ratio of the relative error in the solution to the relative error in " b " is
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| 17. | The ratio of the relative error in the solution to the relative error in " b " is
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| 18. | The asymptotic notation meaning, again, that the relative error of this approximation approaches 0 as increases without bound.
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| 19. | Given a condition number, the relative error of compensated summation is effectively independent of " n ".
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| 20. | Since machine epsilon is a bound for relative error, it suffices to consider numbers with exponent e = 0.
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