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通过求解黎曼问题来解决一维Sod激波管问题，没有考虑温度因素，包括对密度、速度、压强三个物理属性的计算。(Riemann solution of one dimensional Sod shock tube problem)

C# 隐藏、显示开始按钮，把Windows的开始菜单隐藏起来，看不到“开始”菜单了，Windows7则隐藏了窗口图标，不过这样会很不方便哦，本源码只是学习C#与Windows之间的相关编程技巧，下面的代码实现了隐藏显示开始菜单的功能： 　　[DllImport("user32.dll")]//寻找窗口列表中第一个符合指定条件的顶级窗口 　　public static extern int FindWindow(string lpClassName, string lpWindowName); 　　[DllImport("user32.dll")]//在窗口列表中寻找与指定条件相符的第一个子窗口 　　public static extern int FindWindowEx(int hWnd1, int hWnd2, string lpsz1, string lpsz2); 　　[DllImport("user32.dll")]//控制窗口的可见性 　　public static extern int ShowWindow(int hwnd, int nCmdShow); 　　private void button1_Click(object sender, EventArgs e) 　　{ 　　 if (radioButton1.Checked) 　　 ShowWindow(FindWindowEx(FindWindow("Shell_TrayWnd", null), 0, "Button", null), SW_HIDE);//隐藏开始按钮 　　 else if (radioButton2.Checked) 　　 ShowWindow(FindWindowEx(FindWindow("Shell_TrayWnd", null), 0, "Button", null), SW_SHOW);//显示开始按钮 　　}

机动目标的跟踪问题一直是人们研究的重点，实现机动目标精确跟踪，首要解决的问题就是使所建立的目标运动模型与实际的目标运动模型匹配。目前常用的有多模型(MM)，交互式多模型(IMM)，切换模型等。多模型方法就是对一组具有不同机动模型分别进行Kalman滤波，最终的参数估计是各滤波器估计值的加权和；在多模型基础上，Shalom提出了交互式多模型方法，这一方法对无序目标的机动检测，显示了更好的鲁棒性和跟踪的稳定性；切换模型则是分别建立机动和非机动运动模型，利用机动检测实现在这两个模型之间的切换。一般来说，交互式多模型的跟踪性能较好。-mobile target tracking problem has been a focus of research and achieve precise maneuvering target tracking, the most pressing issue is to enable the establishment of the target model and the actual movement of the target model matching. At present, more commonly used model (MM), interactive multi-model (IMM), switching model. Multi-model approach is a group of different mobile models were Kalman filtering, The final parameter is the estimated value of the filter is estimated weighted; in the multi-model basis, Shalom made the interactive multi-model approach that the objectives of the motor disorder detection, better show the robustness and stability of the track; switching model is set up motorized and non-motorized sports

利用SIMETRIX实现的驱动电路仿真设计。(Simulated design of driving circuit based on SIMETRIX.)

螺型和牙型.pdf 介绍常见的螺丝种类 很实用的工程资料-Lo-and-teeth. Pdf screws on the common variety of practical engineering data

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该程序用PID系统实现差动转向车辆控制 (A framework for a differential steering vehicle controlled by a PID system tuned with a genetic algorithm. Kinematic model include: constant velocities and variable velocities model. Accurate and simplified kinematics are provided such that the designer can easily implement the kinematics control on a microcontroller. The PID controller is tuned by an offline GA to follow a straight line for a dead reckoning task.)

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