HyperionTools-2.0.1

这是用matlab编写的显示积分方法中心差分法的源程序，可用于求解微分方程描述的工程问题和相关仿真-This is prepared using matlab central difference integration method shows that the source method can be used to solve differential equations to describe the engineering problems and related simulation

这是一个驱动层的程序，实现了把文件映射成一个虚拟磁盘的功能。-This is a driver layer procedures to realize a file mapping into a virtual disk function.

虚拟鼠标，通过设定鼠标坐标使鼠标移动，不需要实际操控鼠标(A virtual mouse, by setting the mouse coordinates of the mouse movement, mouse does not require actual manipulation of)

智能优化算法jaya，适用于各种优化问题，特点是无参数。(Intelligent optimization algorithm, jaya, is suitable for various optimization problems with no parameters.)

说明：  用51驱动舵机转动，按键实现舵机改变角度(Use 51 to drive the steering gear to rotate and push buttons to change the angle of the steering gear)

说明：  触摸屏控制两台PLC，非常实用，有需要请下(触摸屏)

说明：  已附带43年阻力曲线，可进行地面炮炮弹射程计算(The 43-year resistance curve has been attached, which can be used to calculate the range of surface artillery projectiles.)

通过列举各种实际例子，既介绍了MATLAB的一般用法，包括常用命令、语法规则、矩阵运算、数学函数及二、三维图形的绘制，又介绍了比较复杂的数值计算、图形用户界面和工具箱函数回调的编写方法。本书重点阐述了如何利用MATLAB解决化学研究中的实际问题，介绍了数值计算、绘图及优化、统计、神经网络和模糊逻辑等工具箱函数的应用；通过介绍实例和实际编写MAT—LAB程序，使读者能够熟练应用MATLAB语言实现并改进各种算法。(Through some practical examples, it introduces the general usage of MATLAB drawing, including the commonly used commands, grammar rules, matrix operations, mathematical functions, and two 3D graphics, and introduces the numerical calculation, more complex graphical user interface and the toolbox function callback writing method. This book focuses on how to use the MATLAB to solve practical problems in chemical research, introduces the application of numerical calculation, drawing and optimization, statistics, neural network and fuzzy logic toolbox function; through the introduction of practical examples and the preparation of MAT - LAB program, so that readers can skilled application of MATLAB language and improved algorithms.)

java里面实现的接口的应用，对不同的类中，如果有相同的属性，就可以创建接口。这样就便于管理-java inside the interface to achieve the application of a different category, if the same attributes, we can create interfaces. This manageable

Python配套使用资料，更直观的看到协议分析图，更好地学习。(Python supporting the use of data, see the protocol analysis more intuitive, better learning. )