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matlab的教程，有简易版和详细版。较为浅显易懂，对于新手来说，能够较快的入门。(matlab tutorial, there are simple and detailed version version. Relatively easy to understand for the novice is able to fast entry.)

EFI Application Toolkit Version 1.10.14.62 (EFI Application Toolkit Version 1.10.14.62)

GA Optimization methods for real numbers (continuous numbers)

将Iris数据集分为2组，每组各75个样本，每组中每种花各有25个样本。其中一组作为以上程序的训练样本，另外一组作为检验样本。为了方便训练，将3类花分别编号为1，2，3 。 　　使用这些数据训练一个4输入（分别对应4个特征），3输出（分别对应该样本属于某一品种的可能性大小）的前向网络。(The Iris data set is divided into two groups each of 75 samples in each group have 25 samples in each flower. One set of sample programs as more training, another group as the test samples. To facilitate training, the three types of flowers were numbered 1,2,3. Training before using these data a 4-input (respectively 4 features), 3 outputs (respectively the possibility should belong to a variety of sample size) to the network.)

基于对偶抽样蒙特卡洛发求配电系统可靠性的matlab源程序(Monte Carlo sampling based on the dual distribution system reliability requirements issued matlab source)

这是关于没分燃烧的udf，同学们可以借鉴，利用的是二阶矩模型(this is a combustion udf,which was using the second ju model ,you can use it for referance)

这是pi_4_DQPSK的MATLAB仿真源程序，很好的仿真了这种数字调制和解调(This is pi_4_DQPSK the MATLAB simulation of source, a good simulation of this kind of digital modulation and demodulation)

runs a 2 ghz radar with many features

说明：  拉格朗日算法 计算方法 给力 加油 不错(Lagrange method)

LIDAR点云数据处理与应用 -分析 L I D A R点云数据的获取原理及分类 ， 探讨 Mi c r o s t a t i o n 的 t e r r a 模块 数据及 L I D A R点云数据 的分类处理 方法。( Get principle and classification, classification method to explore the terra Mi crostation module data and LIDAR point cloud data LIDAR point cloud data processing and analysis applications - LIDAR point cloud data.)