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DELAUNAY

  • 逐點(diǎn)插入的Lawson算法是Lawson在1977年提出的

    逐點(diǎn)插入的Lawson算法是Lawson在1977年提出的,該算法思路簡(jiǎn)單,易于編程實(shí)現(xiàn)。基本原理為:首先建立一個(gè)大的三角形或多邊形,把所有數(shù)據(jù)點(diǎn)包圍起來(lái),向其中插入一點(diǎn),該點(diǎn)與包含它的三角形三個(gè)頂點(diǎn)相連,形成三個(gè)新的三角形,然后逐個(gè)對(duì)它們進(jìn)行空外接圓檢測(cè),同時(shí)用Lawson設(shè)計(jì)的局部?jī)?yōu)化過(guò)程LOP進(jìn)行優(yōu)化,即通過(guò)交換對(duì)角線的方法來(lái)保證所形成的三角網(wǎng)為DELAUNAY三角網(wǎng)。

    標(biāo)簽: Lawson 1977 算法

    上傳時(shí)間: 2014-08-24

    上傳用戶:yyq123456789

  • 在測(cè)繪或地圖學(xué)中

    在測(cè)繪或地圖學(xué)中,經(jīng)常會(huì)需要用高程點(diǎn)生成DEM,一般首先由這些點(diǎn)按最小原則生成三角網(wǎng),此代碼即是根據(jù)任意多個(gè)點(diǎn)生成DELAUNAY三角網(wǎng)功能。

    標(biāo)簽: 測(cè)繪 地圖

    上傳時(shí)間: 2014-01-06

    上傳用戶:450976175

  • distmesh

    matlab有限元網(wǎng)格劃分程序 DistMesh is a simple MATLAB code for generation of unstructured triangular and tetrahedral meshes. It was developed by Per-Olof Persson (now at UC Berkeley) and Gilbert Strang in the Department of Mathematics at MIT. A detailed description of the program is provided in our SIAM Review paper, see documentation below. One reason that the code is short and simple is that the geometries are specified by Signed Distance Functions. These give the shortest distance from any point in space to the boundary of the domain. The sign is negative inside the region and positive outside. A simple example is the unit circle in 2-D, which has the distance function d=r-1, where r is the distance from the origin. For more complicated geometries the distance function can be computed by interpolation between values on a grid, a common representation for level set methods. For the actual mesh generation, DistMesh uses the DELAUNAY triangulation routine in MATLAB and tries to optimize the node locations by a force-based smoothing procedure. The topology is regularly updated by DELAUNAY. The boundary points are only allowed to move tangentially to the boundary by projections using the distance function. This iterative procedure typically results in very well-shaped meshes. Our aim with this code is simplicity, so that everyone can understand the code and modify it according to their needs. The code is not entirely robust (that is, it might not terminate and return a well-shaped mesh), and it is relatively slow. However, our current research shows that these issues can be resolved in an optimized C++ code, and we believe our simple MATLAB code is important for demonstration of the underlying principles. To use the code, simply download it from below and run it from MATLAB. For a quick demonstration, type "meshdemo2d" or "meshdemond". For more details see the documentation.

    標(biāo)簽: matlab有限元網(wǎng)格劃分程序

    上傳時(shí)間: 2015-08-12

    上傳用戶:凜風(fēng)拂衣袖

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