Bakhvalov网格上大梯度函数的数值微分公式分析

N. Zadorin
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引用次数: 0

摘要

本文对指数边界层中具有大梯度的单变量函数的数值微分的经典公式的误差进行了估计。假定函数分解为正则分量和奇异分量的和形式,这对于小参数ε影响最高导数的常二阶微分方程的边值问题的解是有效的。众所周知,在均匀网格的情况下,对这种函数应用经典的数值微分多项式公式会导致不可接受的误差。本文对压缩在边界层区域的巴赫瓦洛夫网格上的数值微分公式的误差进行了估计。Bakhvalov网格被广泛用于构造一致收敛的差分格式;因此,在这种网格上的数值微分公式的误差估计是有意义的。对于广泛用于计算一阶、二阶和三阶导数的经典差分公式,在考虑小参数均匀性的情况下,得到了巴赫瓦洛夫网格上的误差估计。给出了数值实验结果,与得到的误差估计相吻合。对在Bakhvalov和Shishkin网格和均匀网格上得到的误差进行了数值比较。
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Analysis of Formulas for Numerical Differentiation of Functions with Large Gradients on a Bakhvalov Mesh
The article gives an estimate of the error of the classical formulas for the numerical diffe-rentiation of a function of one variable with large gradients in the exponential boundary layer. It is assumed that the function is decomposed in the form of the sum of the regular and singular components, which is valid for the solution of a boundary value problem for the ordinary second-order differential equation with a small parameter ε affecting the highest derivative. It is known that the application of the classical polynomial formulas of numerical differentiation to such a function in the case of a uniform mesh can lead to unacceptable errors. The article estimates the error of the formulas for numerical differentiation on the Bakhvalov mesh, which is condensed in the boundary layer region. Bakhvalov’s mesh is widely used to construct uniformly converging difference schemes; therefore, the error estimation of the numerical dif-ferentiation formulas on this mesh is of interest. The estimates of the error on the Bakhvalov mesh are obtained taking into account the uniformity in the small parameter for the classical difference formulas widely used to calculate the first, second, and third derivatives. The re-sults of numerical experiments are presented, which agree with the obtained error estimates. A numerical comparison of the obtained errors on the Bakhvalov and Shishkin meshes and on a uniform mesh is carried out.
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0.60
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审稿时长
17 weeks
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