在内存中的ADO记录集与DataBinding 建立ADO连接 ADO Update concurrency的测试 Tandem Unstructured File 转入Access资料库 如何将其他资料汇入MDB档 如同XBase的Macro Evaluation (&) 数据库的锁定 XBase与VB用法对照 RDO之Informix与VB的连线 RDO 的建立结果集(一) RDO 的建立结果集(二) RDO 结果集之Isolation Level RDO 之Addnew/Update/Delete RDO Stored Procedure的呼叫 RDO rdoConnection物件的Events RDO之MultiResultset RDO之Blob资料的存取 RDO 放资料进入MSFlexGrid VB5在处理数据库时的几个“BUG” 用VB5访问具有用户级安全的Access97数据库 与数据库有关的问答集
标签： ADO Unstructured DataBinding concurrency
上传时间： 2016-09-22
上传用户：bruce
matlab有限元网格划分程序 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.
标签： matlab有限元网格划分程序
上传时间： 2015-08-12
上传用户：凛风拂衣袖
对[1]的matlab实现，有所改动，在计算新的点是否属于平面时用点到平面的距离替换MSE，亲测精度不变计算时间大大减少。 referenece [1]Junhao Xiao, Jianhua Zhang and Jianwei Zhang，'Fast Plane Detection for SLAM from Noisy Range Images in Both Structured and Unstructured Environments',IEEE International Conference on Mechatronics & Automation,2011:1768-1773
上传时间： 2016-06-01
上传用户：李先生的大香港
