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首页> 外文期刊>Applied and Computational Mathematics ean international journal >CONTROL OF ACCURACY OF TAYLOR-COLLOCATION METHOD TO SOLVE THE WEAKLY REGULAR VOLTERRA INTEGRAL EQUATIONS OF THE FIRST KIND BY USING THE CESTAC METHOD
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CONTROL OF ACCURACY OF TAYLOR-COLLOCATION METHOD TO SOLVE THE WEAKLY REGULAR VOLTERRA INTEGRAL EQUATIONS OF THE FIRST KIND BY USING THE CESTAC METHOD

机译:用Cestac方法控制泰勒 - 搭配方法的准确性,以解决第一种常规volterra整体方程

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摘要

Finding the optimal parameters and functions of iterative methods are among the main problems of the Numerical Analysis. For this aim, a technique of the stochastic arithmetic (SA) is used to control of accuracy of Taylor-collocation method for solving first kind weakly regular integral equations (IEs). Thus, the CESTAC (Controle et Estimation Stochastique des Arrondis de Calculs) method and the CADNA (Control of Accuracy and Debugging for Numerical Applications) library are applied. By using this method the optimal iteration of Taylor-collocation method, the optimal error and the optimal approximation to solve the weakly regular IEs of the first kind can be obtained. They are the main differences of the SA in comparison with other methods based on the floating point arithmetic (FPA). Some examples are solved by using the Taylor-collocation method based on the CESTAC method and the numerical results are demonstrated in several tables.
机译:找到迭代方法的最佳参数和功能是数值分析的主要问题。 为此目的,随机算术(SA)的技术用于控制泰勒 - 搭配方法的准确性,用于求解第一种弱常规整体方程(IES)。 因此,Cestac(Controlle ET估计TECHASTIQUESS ARRONDIS DE COMPICS)方法和CADNA(对数值应用的准确性和调试的控制)进行了应用。 通过使用该方法,可以获得泰勒 - 搭配方法的最佳迭代,可以获得最佳误差和解决第一类弱常规IE的最佳近似。 与基于浮点算术(FPA)的其他方法相比,SA是SA的主要差异。 通过使用基于Cestac方法的Taylor-Collocation方法解决了一些示例,并且在几张表中对数值结果进行了说明。

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