combplot

Its is Assump.m used in antennae theory and applications. Can be run matlab 2007 or higher.

换热器的j,f因子是评定其性能的重要参数，通过编程计算能够更加简便快捷(J, f is a factor important to assess the performance parameters of the heat exchanger, through the calculation can be more easily and quickly programmed)

An object oriented Circular buffer implementation. Matlab version 7+ is required,

matlab代码，可以直接运行，是一个M文件(matlabmatlabmatlabmatlabmatlab)

基于MATLAB的递推最小二乘法辨识与仿真，很实用(MATLAB-based parameter identification and simulation, very useful)

粒子滤波的Matlab的学习程序，特点是简单明了，多种参数可以设定，方便于理解算法原理。(Particle filter Matlab learning process, is characterized by simple and clear, a variety of parameters can be set up, easy to understand the algorithm.)

实现定时控制，非常实用，可以直接调用，有需要的可以下载(Achieve timing control, very practical, you can directly call the need to be downloaded)

This implementation of progressbar is intended to be extremely simple to use while providing a high quality user experience. Features: - Can add progressbar to existing m-files with a single line of code. - Supports multiple bars in one figure to show progress of nested loops. - Optional labels on bars.

Secant method. This code is for secant method that we study in Numerical Analysis sunject.

说明：  决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。由于这种决策分支画成图形很像一棵树的枝干，故称决策树。在机器学习中，决策树是一个预测模型，他代表的是对象属性与对象值之间的一种映射关系。Entropy = 系统的凌乱程度，使用算法ID3, C4.5和C5.0生成树算法使用熵。这一度量是基于信息学理论中熵的概念。 决策树是一种树形结构，其中每个内部节点表示一个属性上的测试，每个分支代表一个测试输出，每个叶节点代表一种类别。 分类树（决策树）是一种十分常用的分类方法。它是一种监督学习，所谓监督学习就是给定一堆样本，每个样本都有一组属性和一个类别，这些类别是事先确定的，那么通过学习得到一个分类器，这个分类器能够对新出现的对象给出正确的分类。这样的机器学习就被称之为监督学习。(Decision tree is a decision analysis method based on the known probability of occurrence of various situations, which can calculate the probability that the expected value of net present value is greater than or equal to zero, evaluate the project risk and judge its feasibility by constructing a decision tree. It is a graphic method of intuitively using probability analysis. Because this kind of decision branch is drawn as a graph, it is very similar to the branch of a tree, so it is called decision tree. In machine learning, decision tree is a prediction model, which represents a mapping relationship between object attributes and object values. Entropy = the disorder degree of the system, using algorithms ID3, C4.5 and C5.0, spanning tree algorithm using entropy. This measure is based on the concept of entropy in information theory.)