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I-Acceleration Convergence of Double Sequences

机译:双序列的I - 加速会聚

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Introduction A sequence transformation T is a function T : (x_k) → (x_k~*) which maps a slowly convergent sequence to another sequence with better numerical properties. If lim_k x_k = x and lim_k xk~* = x~* with r_k and rk* as the truncated errors. Then we have x_k = x + r_k, rk~* = x~* + rk~*. We say that the sequence (x_k) converge more rapidly than the sequence (xk~*) if {formula} The convergence rate of a sequence is defined as follows: Let (x_k) be a real valued sequence with limit x. Then the convergence rate of (x_k) is characterized by {formula} which closely resembles the ratio test in the theory of infinite series. If 0 < a < 1, then (x_k) is said to be linearly convergent. If a = 1, then (x_k) is said to be logarithmically convergent, if a = 0 then (x_k) is said to converge hyper-linearly and obviously a > 1 stands for divergence of the sequence.
机译:简介序列变换T是函数T:(X_K)→(X_K〜*),其将缓慢的会聚序列映射到具有更好数值的另一个序列。如果lim_k x_k = x和lim_k xk〜* = x〜*用r_k和rk *作为截断的错误。然后我们有x_k = x + r_k,rk〜* = x〜* + rk〜*。我们说序列(X_K)会聚比序列(XK〜*)更快地收敛,如果序列的收敛速率定义如下:设(x_k)是具有限制x的真实值序列。然后(X_K)的收敛速率特征在于{公式},其在无限系列理论中非常类似于比率测试。如果0 <1,则据说是线性收敛的0 <1,则是线性收敛的。如果a = 1,则据说(x_k)被逻辑会聚,如果a = 0那么(x_k)被称为(x_k),则通过超线性和显然a> 1代表序列的分歧。

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