We first extend the construction of generalized barycentric coordinates (GBC) based on the vertices on the boundary of a polygon $\Omega$ to a new kind of GBCs based on vertices inside the $\Omega$ of interest. For clarity, the standard GBCs are called boundary GBCs while the new GBCs are called interior GBCs. Then we present an analysis on these two kinds of harmonic GBCs to show that each GBC function whose value is $1$ at a vertex (boundary or interior vertex of $\Omega$) decays to zero away from its supporting vertex exponentially fast except for a trivial example. Based on the exponential decay property, we explain how to approximate the harmonic GBC functions locally. That is, due to the locality of these two kinds of GBCs, one can approximate each of these GBC functions by its local versions which is supported over a sub-domain of $\Omega$. The local version of these GBC function will help reduce the computational time for shape deformation in graphical design. Next, with these two kinds of GBC functions at hand, we can use them to approximate the solution of the Dirichlet problem of the Poisson equation. This may provide a more efficient way to solve the Poisson equation by using a computer which has graphical processing unit(GPU) with thousands or more processes than the standard methods using a computer with one or few CPU kernels.
翻译:我们首先根据多边形$\Omega$的边界上的顶端,将通用的巴以中心坐标(GBC)的构建扩展至基于美元利益范围内的顶端的新型GBC。为了清楚,标准的GBC称为边界GBC,而新的GBC则称为内部GBC。然后我们对这两种类型的口音GBC进行分析,以显示每个GBC函数值在顶端值为1美元(美元/Omega$的边界或内部顶端)的值从支持的顶端(美元/Omega$的边界或内部顶端)迅速下降到零,除非有一个微不足道的例子。基于指数衰减属性,我们解释如何接近当地调差的GBC功能。由于这两类GBC的地理位置,我们可以用本地版本来将GBC函数的每个功能都与当地版本相近。这些GBC函数本地版将有助于减少计算机平面平面平方程式的计算时间,然后用一种我们平面的平面平方程式来提供一种我们平面的平方程式。