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Increasing reliability of Gauss-Kronrod quadrature by Eratosthenes' sieve method

机译:用Eratosthenes的筛法提高Gauss-Kronrod正交的可靠性

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摘要

The reliability of the local error estimates returned by the Gauss-Kronrod quadrature rules can be raised up to the theoretical 100% rate of success, under error estimate sharpening, provided a number of natural validating conditions are required. The self-validating scheme of the local error estimates, which is easy to implement and adds little supplementary computing effort, strengthens considerably the correctness of the decisions within the automatic adaptive quadrature.
机译:如果需要许多自然验证条件,那么在误差估计锐化的情况下,可以将高斯-克朗罗德正交规则返回的局部误差估计的可靠性提高到理论上的100%成功率。本地误差估计的自验证方案易于实现,并且几乎没有增加辅助计算工作,从而大大增强了自动正交算法中决策的正确性。

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