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Two-point block variable order step size multistep method for solving higher order ordinary differential equations directly

机译:两点块可变顺序步骤尺寸MultiSep方法直接解决高阶常微分方程

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The current research aims to provide a viable numerical method for solving difficult engineering and science problems which are in the form of higher order ordinary differential equations. The proposed method approximates these ordinary differential equations using Newton-Gregory backward difference polynomial in predictor–corrector mode. The predictor–corrector algorithm is then fitted with a variable order step size algorithm to reduce computational cost. The variable order stepsize algorithm allows the method to predetermine the preferred level of accuracy with the added advantage of less computational cost. The method is subsequently programmed with a two-point block formulation which can be altered for parallel programming. This research also discusses order and stepsize strategies of the variable order stepsize algorithm. Stability and convergence estimations of the method are also established. Numerical results obtained will validate the accuracy and efficiency of the method using various types of linear and nonlinear higher order ordinary differential equations.
机译:目前的研究旨在提供一种可行的数值方法,用于解决困难的工程和科学问题,这些方法是高阶常微分方程的形式。所提出的方法在预测器校正模式下使用牛顿 - 格雷戈病变向差多项式近似于这些常微分方程。然后,预测器校正器算法具有可变阶步长算法,以降低计算成本。可变顺序步骤化算法允许该方法预先确定优选的精度水平,通过较少的计算成本的额外优点。随后用两点块制定进行编程,该制剂可以被改变以进行并行编程。该研究还讨论了可变阶段STALEIZE算法的顺序和步骤策略。还建立了该方法的稳定性和收敛估计。获得的数值结果将验证使用各种类型的线性和非线性高阶常微分方程的方法的准确性和效率。

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