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Weighted Fifth Degree Polynomial Spline

机译:加权五次多项式样条

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Global fifth degree polynomial spline is developed. Ideas applied in the field of high order WENO (Weighted Essentially non Oscillating) methods for numerical solving compressible flow equations are used to construct interpolation which has accuracy closed to accuracy of classical cubic spline for smooth interpolated functions, and which reduces undesirable oscillations often appearing in the case of data with break points. Fifth degree polynomial spline is constructed in two steps. Third degree spline is developed in first step by usage of additional stencils above three point central stencil, dealt in classical cubic splines. The Procedure of weights calculation provides choice of preferable stencils. Compensating terms are introduced to left side of governing equations for calculation of spline derivative knot values. This spline may be identical to classical cubic spline for "good" data. Damping of oscillations is achieved at the cost of reducing smoothness till C~1. To restore C~2 smoothness fifth degree terms are added to third degree polynomials in second step. These terms are chosen to provide continuity of the spline second derivative. Fifth degree polynomial spline is observed to produce lesser oscillations, then classical cubic spline applied to data with break points. These splines have nearly the same accuracy for smooth interpolated functions and sufficiently large knot numbers.
机译:全局五次多项式样条被开发。数值求解可压缩流方程的高阶WENO(加权基本非振荡)方法领域的思想用于构造插值,其精度接近于平滑插值函数的经典三次样条精度,并减少了经常出现的不希望有的振荡带有断点的数据的情况。五阶多项式样条曲线分两步构建。第一步,通过使用三点中心模板上方的附加模板开发第三级样条,以经典三次样条处理。权重计算程序提供了首选模板的选择。将补偿项引入控制方程式的左侧,以计算样条导数结值。对于“良好”数据,该样条可能与经典三次样条相同。以降低平滑度直到C〜1为代价来实现振荡阻尼。为了恢复C〜2平滑度,第二步将五阶项添加到三阶多项式。选择这些项以提供样条二阶导数的连续性。观察到五阶多项式样条曲线产生较小的振荡,然后将经典三次样条曲线应用于具有断点的数据。对于平滑的插值函数和足够大的结数,这些样条具有几乎相同的精度。

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