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On the Practical Realization of ε-algorithm for Calculation of Limits of Numerical Sequences and N-point Padé Approximations

机译:关于数值序列局限性ε算法的实际实现,N点PADÉ近似

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It is shown that the Wynn's missing identity of Frobenius gives a good practical numerical criterion for the choice of the optimal Padé approximant. The method is illustrated by calculation of divergent series, numerical interpolation and extrapolation, and can be used as predictor method for numerical solution of ordinary differential equations. The performed numerical experiments reveal that practical realization of the Padé approximants is not problem of the theory of complex functions but belongs to mathematical statistics. A significant correlation between the empirical error extracted by the cross rule by Wynn and the real error reveals that the long sought criterion has already been found. Padé approximants are fast convergent but the noise of rounding requires a compromise. The optimal approximant is determined by modulus minimization of empirical error in the Padé table (N - C)~(-1) + (S - C)~(-1) =ε~(-1)_(emp) = (W - C)~(-1) + (E - C)~(-1).
机译:结果表明,Wynn的缺失的Frobenius身份为选择最佳Padé近似提供了良好的实际数值标准。该方法通过计算发散系列,数值插值和外推,并可以用作常微分方程的数值解的预测方法。所进行的数值实验表明,帕尼近似的实际实现不是复杂功能理论的问题,但属于数学统计。由Wynn提取的经验误差与真正错误提取的经验误差之间的显着相关性显示已经找到了长寻求的标准。 Padé近似是快速收敛,但舍入的噪音需要妥协。最佳近似是通过PADé表(n - c)〜(-1)+(s - c)〜(-1)=ε〜(-1)=(emp)=(emp)=(w的emp)=(w - c)〜(-1)+(E - C)〜(-1)。

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