matlabxiandaixinhaochuli

求解机械臂逆运动学时,Paden-Kahan子问题1~3的函数实现.(Paden-Kahan subproblems for inverse kinematics)

说明：  一种新型的算法，将模拟退火法和遗传算法相结合，用于求解预测问题(A new algorithm, simulated annealing and genetic algorithm are combined to solve the prediction problem for)

matlab program for power system

my experiments which are very useful

lexical and bison analyzer for compiling

读取激光雷达点云数据的头文件数据块，将点云数据的基本信息记录在相应的变量中。(Read lidar point cloud data header file data block, the basic information of the point cloud data recorded in the corresponding variable.)

J-K变换器综合滤波器各级K值对应的散射矩阵的S参数对应值-适合做射频微波领域滤波器的相关人士使用(S parameter corresponds to the value of the J-K converter integrated filter K values at all levels of the corresponding scattering matrix- stakeholders suitable for RF and microwave filters using field )

matlab的详细程序说明，包括一些基本的程序。(Detailed description of the procedures matlab)

material for tracking

k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scripts(kdtree_demo.m & kdrange_demo.m),很实用( This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/src, as well as precompiled mex files for the following systems: - Mac OS X (Matlab 6.5) - Redhat Linux (Matlab 6.5) - Windows (Matlab 6.1) Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m). The new features added June 2004: + You can now use N dimensional data points, where N>3. + Use KDTREEIND to return the index value to the closest point, instead of the closest point values. + KDRANGEQUERY can now return these index values as well. Written by/send comments or suggestions to : Guy Shechter guy at jhu dot edu June 2004 )