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Unstructured

  • 在內存中的ADO記錄集與DataBinding 建立ADO連接 ADO Update concurrency的測試 Tandem Unstructured File 轉入Access資料庫

    在內存中的ADO記錄集與DataBinding 建立ADO連接 ADO Update concurrency的測試 Tandem Unstructured File 轉入Access資料庫 如何將其他資料匯入MDB檔 如同XBase的Macro Evaluation (&) 數據庫的鎖定 XBase與VB用法對照 RDO之Informix與VB的連線 RDO 的建立結果集(一) RDO 的建立結果集(二) RDO 結果集之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資料的存取 RDO 放資料進入MSFlexGrid VB5在處理數據庫時的幾個“BUG” 用VB5訪問具有用戶級安全的Access97數據庫 與數據庫有關的問答集

    標簽: ADO Unstructured DataBinding concurrency

    上傳時間: 2016-09-23

    上傳用戶:bruce

  • distmesh

    matlab有限元網格劃分程序 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.

    標簽: matlab有限元網格劃分程序

    上傳時間: 2015-08-12

    上傳用戶:凜風拂衣袖

  • 點云數據平面提取算法matlab程序

    對[1]的matlab實現,有所改動,在計算新的點是否屬于平面時用點到平面的距離替換MSE,親測精度不變計算時間大大減少。 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

    標簽: matlab 平面提取算法 點云數據

    上傳時間: 2016-06-01

    上傳用戶:李先生的大香港

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