BatteryChargeController

恒润科技，matlab手册，里面有matlab相关模块的介绍，可以说面面俱到，很详细。(Hengrun technology, matlab manuals, which have matlab introduce relevant modules can be said to be comprehensive, very detailed.)

一般统计数据中有很多变量，采用组成分分析法，可以既有效抓住有效信息，又实现降维。本程序采用实例，来说明此方法。(General statistics, there are many variables, sub-components analysis, can only effectively capture useful information, but also to achieve dimensionality reduction. The program uses examples to illustrate this method. )

本程序包内用matlab编写数值计算方法中的插值的源代码，包括Newton插值法，拉格朗日插值法，在mainInt.m文件中测试，并与拟合函数进行比较。供学习数值计算的程序员参考。(This program package using matlab numerical method of interpolation of the source code, including the Newton interpolation, Lagrange interpolation method, tested in mainInt.m file, and compare with the fitting function. For learning numerical Programmer s Reference.)

采用ACO蚁群算法解决TSP问题。 有详细的讲解标注。(use aco to solute the TSP PROBLEM.)

SIR（Susceptibles，Infectives，Recovered）模型来研究如天花，流感，肝炎，麻疹等治愈后均有很强的免疫力的传染病(SIR (Susceptibles, Infectives, Recovered) model to study such as smallpox, influenza, hepatitis, measles, etc. have a strong immunity after cure of infectious diseases)

IMfluxmodel INDUCTION MOTOR

关于调频解调的部分程序，希望对大家有所帮助，谢谢 (FM demodulation on the part of the process, and I hope to help you, thank you)

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

说明：  第四章 MATLAB 图形对象操作 4.1 图形对象的属性 4.2 图形对象句柄的获取 4.2.1 对象创建时获取 4.2.2 层次关系来获取 4.2.3 当前对象的获取 4.2.4 根据对象属性值的获取 4.3 图形对象句柄的删除与判断 4.3.1 句柄的删除 4.3.2 句柄的判断 4.4 图形对象属性值的获取与设置 4.4.1 图形对象属性值的设置 4.4.2 图形对象属性值的获取 4.4.3 用户缺省值的操作 4.5 图形对象的其它操作 4.5.1 figflag 函数 4.5.2 findfigs 函数 4.5.3 copyobj 函数 4.5.4 capture 函数 4.5.5 refresh 函数 4.5.6 saveas 函数 4.5.7 hgload 函数和 hgsave 函数 4.5.8 newplot 函数 (Chapter IV of MATLAB graphic objects to operate the properties of graphic object 4.1 graphic object handle 4.2 Access 4.2.1 object created when the relationship between the level of access to 4.2.2 to get 4.2.3 to obtain the current object under the object attribute value 4.2.4 Access 4.3 graphic object handle to remove the judge handles the deletion of 4.3.1 judgments 4.3.2 Handle 4.4 graphic object attribute values to obtain and set the target attribute value 4.4.1 graphics settings 4.4.2 graphic object attribute values to obtain 4.4 .3 user operation 4.5 Default graphic object 4.5.1 figflag other operations function 4.5.2 findfigs function 4.5.3 copyobj function 4.5.4 capture function 4.5.5 refresh function 4.5.6 saveas function 4.5.7 hgload function and 4.5.8 newplot function hgsave function)

说明：  中点公式求取导数 三点法求函数的导数 五点法求函数的导数 三次样条法求函数的导数 自适应法求函数的导数 辛普森数值微分法法求函数的导数 (Midpoint formula to strike a derivative of a function point method five-point derivative of the derivative of the function Method cubic spline derivative of a function of the adaptive function of the derivative Method Numerical Differentiation Method Simpson derivative of the function)