A fingerprint classification method based on singular points and central symmetrical axis is presented and realized.
给出并实现了基于奇异点和指纹中心对称轴的指纹分类方法。
This paper details the singularity analysis of TPM. A method is proposed to deal with all kinds of singular points. It proves the effectivity through an application example.
本文详细分析了TPM模型奇异性问题的产生，并提出了处理奇异点的方法，给出的算例证明了该处理方法的有效性。
The method for correction of singular points of wells and the calculation method of well row replaced by a ditch in the numerical FEM and FDM computations were proposed in this paper.
对有限元和有限差分的数值计算提出了井孔奇点修正和以沟代井列的计算方法，从而提高了离散化网络的计算精度，并可简化取代三维问题为二维。
A computing method of coefficient matrix is given. For a few special points including singular points, the numerical values of solid Angle of a cylindrical bottom surface open to these special points.
对包含奇异点在内的几个特殊点给出了柱底面对这些点所张立体角的值，并给出了电测井积分方程系数矩阵的计算方法。
A computing method of coefficient matrix is given. For a few special points including singular points, the numerical values of solid Angle of a cylindrical bottom surface open to these special points.
对包含奇异点在内的几个特殊点给出了柱底面对这些点所张立体角的值，并给出了电测井积分方程系数矩阵的计算方法。
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