In this paper a discretization algorithm based on importance of cut point.
提出一种基于断点重要性的离散化算法。
To carry out discretization, a PDE is written for a given point in space at a given time level.
为了解决离散化问题，偏微分方程是针对某一特定点的空间在特定时间轴。
By introducing the concept of "nihility point" and the method of "spherule bounding" in the algorithm, we have simply and effectively realized boundary discretization in 3-d space.
这种算法采用“虚点”概念，按照一定的规则用“小球跳跃法”简单而有效地实现了三维场域边界的三角形离散。
The eight-point finite element is used for the discretization in the space system. The finite element model is given, facilitating to sensitivity analysis for non-linear direct and inverse problems.
采用八节点的等参单元在空间上进行离散，建立了便于敏度分析的非线性正演和反演的有限元模型，可直接求导进行敏度分析。
The eight-point finite element is used for the discretization in the space system. The finite element model is given, facilitating to sensitivity analysis for non-linear direct and inverse problems.
采用八节点的等参单元在空间上进行离散，建立了便于敏度分析的非线性正演和反演的有限元模型，可直接求导进行敏度分析。
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