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首页> 外文期刊>Journal of inequalities in pure and applied mathematics >Sharp Error Bounds for the Trapezoidal Rule and Simpson's Rule
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Sharp Error Bounds for the Trapezoidal Rule and Simpson's Rule

机译:梯形法则和辛普森法则的尖锐误差界

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We give error bounds for the trapezoidal rule and Simpson's rule for ``rough'' continuous functions--for instance, functions which are H?lder continuous, of bounded variation, or which are absolutely continuous and whose derivative is in . These differ considerably from the classical results, which require the functions to have continuous higher derivatives. Further, we show that our results are sharp, and in many cases precisely characterize the functions for which equality holds. One consequence of these results is that for rough functions, the error estimates for the trapezoidal rule are better (that is, have smaller constants) than those for Simpson's rule.
机译:我们为梯形规则和辛普森规则的``粗糙''连续函数给出误差范围-例如,H?lder连续函数,有界变化函数或绝对连续函数且其导数在中的函数。这些与经典结果有很大不同,经典结果要求函数具有连续的更高导数。此外,我们证明了我们的结果是清晰的,并且在许多情况下精确地描述了平等所具有的功能。这些结果的一个结果是,对于粗糙函数,梯形法则的误差估计比辛普森法则的误差估计更好(即,常数较小)。

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