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Curvature-based grid step selection for stiff Cauchy problems

机译:基于曲率的栅格步骤选择僵硬的Cauchy问题

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Abstract A new method of automatic step selection is proposed for the numerical integration of the Cauchy problem for ordinary differential equations. The method is based on using the geometrical characteristics (cuvature and slope) of the integral curve. Formulas have been constructed for the curvature of the integral curve for different choices of multidimensional space. In the two-dimensional case, they turn into well-known formulas, but their general multidimensional form is nontrivial. These formulas have a simple form, are convenient for practical use, and are of independent interest for the differential geometry of multidimensional spaces. For the grids constructed by our method, a procedure of step splitting is proposed that allows one to apply Richardson’s method and to calculate posterior asymptotically precise error estimation for the obtained solution (no such estimates have been found for traditional algorithms of automatic step selection). Therefore, the proposed methods demonstrate significantly superior reliability and validity of the results as compared to calculations by conventional algorithms. In the existing automatic procedures for step selection, steps can be unexpectedly reduced by 2–4 orders of magnitude for no apparent reason. This undermines the reliability of the algorithms. The cause of this phenomenon is explained. The proposed methods are especially effective for highly stiff problems, which is illustrated by examples of calculations.
机译:<标题>抽象 ara>提出了一种新的自动步骤选择方法,用于常微分方程的Cauchy问题的数值集成。该方法基于使用整体曲线的几何特征(杯子和斜率)。已经构建了用于不同选择的多维空间选择的整体曲线的曲率。在二维案例中,它们变成了众所周知的公式,但它们的一般多维形式是非棘手的。这些公式具有简单的形式,便于实际使用,并且对于多维空间的差分几何形状具有独立的兴趣。对于由我们的方法构建的网格,提出了一种步骤分割的过程,其允许人们应用Richardson的方法并计算所获得的解决方案的后渐近精确误差估计(没有找到用于传统自动步骤选择的传统算法的估计)。因此,与传统算法的计算相比,所提出的方法表明了结果的显着优异的可靠性和有效性。在步骤选择的现有自动程序中,对于没有明显的原因,步骤可以意外地减少2-4级数量级。这破坏了算法的可靠性。解释了这种现象的原因。所提出的方法对于高度僵硬的问题特别有效,其通过计算的例子说明。

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