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Achieving accuracy and efficiency in spherical modelling of real data

机译:在真实数据的球形建模中实现准确性和效率

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In this paper, a hybrid approximation method on the sphere is analysed. As interpolation scheme, we consider a partition of unity method, such as the modified spherical Shepard method, which uses zonal basis functions plus spherical harmonics as local approximants. The associated algorithm is efficiently implemented and works well also when the amount of data is very large, as it is based on an optimized searching procedure. Locality of the method guarantees stability in numerical computations, and numerical results show good accuracy. Moreover, we aimed to discuss preservation of such features when themethod and the related algorithm are applied to experimental data. To achieve this purpose,we considered the Magnetic Field Satellite data. The goal was reached, as efficiency and accuracy are maintained on several sets of real data.
机译:本文分析了球面上的混合逼近方法。作为插值方案,我们考虑统一方法的分区,例如改进的球形Shepard方法,该方法使用区域基函数和球谐函数作为局部近似值。由于基于优化的搜索过程,因此有效地实现了关联的算法,并且在数据量非常大时也可以很好地工作。该方法的局部性保证了数值计算的稳定性,数值结果显示出良好的准确性。此外,我们旨在讨论将方法和相关算法应用于实验数据时这些特征的保存。为了达到这个目的,我们考虑了磁场卫星数据。达到了目标,因为在几组真实数据上保持了效率和准确性。

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