queue-theory

动力学教程中的数值方法，包括中心差分法，newmark法，wilson法(Tutorial dynamics of numerical methods, including the central difference method, newmark Act, wilson Law)

通信仿真： 利用Matlab实现的脉冲成型仿真(Communication Simulation : Matlab Pulse Forming Simulation)

面向matlab工具箱的神经网络理论与应用(Neural Network Theory and Applicationgs with MATLAB toolboxes)

香农编码源程序 如：p=[0.4 0.3 0.2 0.1] shannon(p)(shannon source code)

扩散系统之浓度分布的装置。管中储放静止液体B，高度为L=10 ㎝，放置于充满A 气体的 环境中。假设与B 液体接触面之浓度为3 C 0 0.01mol m A = ，且此浓度不随时间改变 而改变，即在操作时间内( h = 10天)维持定值。气体A 在液体B 中之扩散系数为 D m s AB = 2×10− 9 2 。试决定以下两种情况下，气体A溶于液体B中之流通量(flux)。 (a) A 与B 不发生反应； (b) A 与B 发生以下之反应 A+ B→C ， A A − r = kC 其反应速率常数k = 2×10− 7 s− 1。 (Diffusion system of concentration reference device shown in Figure 3. Tube in the store still liquid B, L = 10 cm height, placed in full A gas environment. Assuming the contact surface of the liquid with the B concentration of 3 C 0 0.01mol m A =, and this concentration does not change with time and change, that is, the operating time (h = 10 days) to maintain constant. Gas A in liquid B, the diffusion coefficient D ms AB = 2 × 10-9 2. Decided the following two test cases, the gas dissolved in liquid B in the A liquid (flux). (A) A and B do not react (b) A and B of the following reaction occurs A+ B → C, AA- r = kC, the reaction rate constant k = 2 × 10-7 s-1.)

本文利用simulink建立了并联机构位姿正解(the forward solution model based on simulink)

ahp的matlab程序，输入矩阵即可使用(ahp matlab program, you can use the input matrix)

在机械故障中，对包含故障频率的某一段频率进行细化分析，从而得到更准确地故障频率(In mechanical failure, the failure frequency contains a section for detailed frequency analysis to obtain a more accurate fault frequencies)

四阶Runge-Kutta法解常微分方程组(Fourth Order Runge-Kutta Method for Solving Ordinary Differential Equations)

说明：  内含PDF文档有效的解释了三维重构的基本原理以及可以基于Matlab导成三维有限元模型(The PDF document effectively explains the basic principle of three-dimensional reconstruction and can be derived into three-dimensional finite element model based on matlab.)