数值算例表明，无理函数插值能够很好地反映出温度分布的特征。
The numerical examples indicate that the features of temperature distributions are reflected exactly by mean value interpolation.
采用计算机图形学中的多边形平均值坐标，构造出以多边形顶点为插值节点的无理函数插值方法。
With shape functions of mean value interpolation and a bivariate Taylor expression, error estimation of mean value interpolation within polygonal elements is analyzed.
采用计算机图形学中的多边形平均值坐标，构造出以多边形顶点为插值节点的无理函数插值方法。
With shape functions of mean value interpolation and a bivariate Taylor expression, error estimation of mean value interpolation within polygonal elements is analyzed.
应用推荐