new

This is some code for recording in Matlab.

Elnagar, G., et al. (1995). "The pseudospectral Legendre method for discretizing optimal control problems." IEEE Transactions on Automatic Control 40(10). 上述文章的算例2的仿真代码(Elnagar, G., et al. (1995). " The pseudospectral Legendre method for discretizing optimal control problems." IEEE Transactions on Automatic Control 40 (10). the simulation code of example 2 in the preceding article.)

WAVE propagation analysis

In an image edge is more important to interpolate the missing pixel values. In similarity algorithm edge is detected using the unified high frequency map. Based on this the missing green pixels are interpolated by taking the average of surrounding values. Then the missing red and blue values are interpolated similarly.

CMDA 系统中下行链路的通信与仿真 MATLAB仿真实现(CMDA Simulation)

这个是遗传算法的工具箱，在MATLAB下(gaot)

中文名称：主成分分析 英文名称：principal component analysis 定义：一种统计方法，它对多变量表示数据点集合寻找尽可能少的正交矢量表征数据信息特征。 (Chinese name: Principal component analysis of the English name: principal component analysis defined: a statistical approach, where the variable represents the collection of data points to find the lowest possible number of orthogonal vector characterization data characteristics.)

五点差分格式解重调和问题，采用适当的技巧将其分解成两个Possion方程求解(Five-point difference scheme solution Biharmonic)

说明：  BP_Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器，利用此方法设计出强分类器。(The BP_Adaboost model uses the BP neural network as a weak classifier, repeatedly trains the BP neural network to predict the sample output, and uses the Adaboost algorithm to obtain a strong classifier composed of multiple BP neural network weak classifiers. This method is used to design a strong classifier.)

CART算法 经典的matlab实现 大家可以好好学习一下 有做决策树的可以和我交流(CART algorithm to achieve the classic matlab)