在这篇论文,我们建议一条新途径基于 RBF 网络和 MQ 伪插值解决近似 implicitization 问题。这条途径拥有优点塑造保存、更好的光滑,好近似行为并且相对更少的数据等等。几个数字例子被提供表明建议方法的有效性和灵活性。
In this paper, we propose a new approach to solve the approximate implicitization problem based on RBF networks and MQ quasi-interpolation. This approach possesses the advantages of shape preserving, better smoothness, good approximation behavior and relatively less data etc. Several numerical examples are provided to demonstrate the effectiveness and flexibility of the proposed method.