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Two new compact finite-difference schemes for the solution of boundary value problems in second-order non-linear ordinary differential equations, using non-uniform grids

机译:使用非均匀网格解决二阶非线性常微分方程边值问题的两个新的紧致有限差分方案

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摘要

Two new finite-difference, three-point compact discretisations of boundary value problems in second-order non-linear ordinary differential equations: U~((2))(χ) - F(χ, U(χ), U~((1)) (χ)) = 0, applicable to non-uniform grids, are derived and compared in calculations with three previously published methods. The discretisations are modifications of the efficient uniform-grid arithmetic average method of Chawla and Shivakumar [Neural Parallel Sci. Comput. 4 (1996) 387-396]. Formal error analysis reveals that the truncation errors of the new discretisations are of third order with respect to the local grid spacings. New, economical, fourth-order accurate, two-point compact approximations to the first derivatives of the solution at the boundaries are also designed. Numerical experiments with the solution of singularly perturbed example problems, characterized by boundary and interior layers, indicate that the practical orders of accuracy of the new schemes are close to four, even for non-uniform grids. The methods prove competitive with the three-point extension of the Numerov method, and with one other extension of the Chawla and Shivakumar method.
机译:二阶非线性常微分方程中的边值问题的两个新的有限差分三点紧致离散:U〜((2))(χ)-F(χ,U(χ),U〜(( 1))(χ))= 0,适用于非均匀网格,并在计算中与三种先前公开的方法进行比较。离散化是对Chawla和Shivakumar [神经平行科学。计算4(1996)387-396]。形式误差分析表明,相对于局部网格间距,新离散化的截断误差为三阶。还设计了对边界处解的一阶导数的新的,经济的,四阶精确的两点紧凑近似。以边界层和内部层为特征的奇异摄动示例问题的解决方案的数值实验表明,即使对于非均匀网格,新方案的实际精度也接近于四个。该方法与Numerov方法的三点扩展以及Chawla和Shivakumar方法的另一扩展相竞争。

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