半车预瞄对比

利用vb来实现显示滚动的字，是你的软件界面更美观-use to achieve the characters show rolling, is your software interface more beautiful

一个随机密码产生器代码-A random password generator code

SpringBoot的相关文档，看完可以搭建一个springboot项目(SpringBoot related documents, after seeing you can build a springboot project)

说明：  china.js, 中国地图必需品，免费给大家下载，希望大家喜欢(china.js China map necessities, free to download, hope you like)

运行于genesis2000，用作自动削铜皮上的防焊开窗使用(Running on genesis2000, used automatic cut copper solder on windows using)

瑞萨R5F1000FG 串口，LCD显示(Risa R5F1000FG Serial Port, LCD Display)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcoming of the steepest descent method and avoids the need for the Newton method to store. And the disadvantage of calculating the Hesse matrix and inverting, the conjugate gradient method is not only one of the most useful methods for solving large linear equations, but also one of the most effective algorithms for solving large-scale nonlinear optimization. Among various optimization algorithms, the conjugate gradient method is a very important one. The advantage is that the required amount of storage is small, step convergence, high stability, and no external parameters are required.)

利用C++的类和对象编写C++的应用程序，宠物小屋的综合程序。适合学习C++类和对象的菜鸟。

说明：  开始您的研究。然后，您可以使用正态分布为这些其他值生成数字(Rayleigh Rician Weibu)

说明：  主动噪声控制的前馈算法和反馈算法仿真，fxlms算法(Feedforward algorithm and feedback algorithm for active noise control)