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1　引　　言在文 [1 ]中我们借助于动力系统方法导出了求连续函数 ｆ(ｘ)在区间 [ａ ,ｂ]上单零点ｘ 的一个大范围收敛的连续性方法 .此处 ｆ(ｘ)满足李氏条件 ,且 ｆ(ａ) <0 ,ｆ(ｂ) >0 .这个连续性方法由动力系统ｄｘｄｔ =- ｆ(ｘ)ｘ( 0 ) =ｘ0 ∈ [ａ ,ｂ]( 1 )确定 ,其解析解ｘ(ｔ ,ｘ0 )具有性质ｌｉｍｔ→ +∞ｘ(ｔ,ｘ0 ) =ｘ ,　　ｘ0 ∈ [ａ ,ｂ].　　为了数值地求出ｘ ,我们利用显式欧拉法ｘｎ+ 1=ｘｎ -ｈｎｆ(ｘｎ)ｘ0 =ｂ　ｏｒａ ( 2 )来求 ( 1 )式的解 .其中ｈｎ>0 ,为步长 .它的选择满足文 [1 ]中的不等式ａ<ｘｎ+ 1<ｘｎ,…  相似文献
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In this paper, a new method, so called A-method, is given for the convergence analysis of the MQ-algorithm. And the finer relaxation parameter θA is obtained. The numerical results show that our new method has the outstanding effect of accelerating convergence. Moreover, the relaxation parameter θA is the optimum in a point of view.  相似文献
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We introduce a general iterative scheme for angle-limited image reconstruction based on Landwebet＇s method. We derive a representation formula for this scheme and consequently establish its convergence conditions. Our results suggest certain relaxation strategies for an accelerated convergence for angle-limited image reconstruction in L^2-norm comparing with alternative projection methods. The convolution-backprojection algorithm is given for this iterative process.  相似文献
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The essence of the linear search is one-dimension nonlinear minimization problem, which is an important part of the multi-nonlinear optimization, it will be spend the most of operation count for solving optimization problem. To improve the efficiency, we set about from quadratic interpolation, combine the advantage of the quadratic convergence rate of Newton's method and adopt the idea of Anderson-Bjorck extrapolation, then we present a rapidly convergence algorithm and give its corresponding convergence conclusions. Finally we did the numerical experiments with the some well-known test functions for optimization and the application test of the ANN learning examples. The experiment results showed the validity of the algorithm.  相似文献
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