模拟退火计算最优系统维护时间

类似于MatLab的东东,当然肯定没那么好,但基本的数学运算还是有的(MatLab is similar to the East, of course, is not so sure, but the basic arithmetic or some)

IEEE802.15.4a 的matlab模型(IEEE802.15.4a based in matlab)

目标分配的遗传算法在matlab的实现，可以用于在武器分配，以及背包问题。(Target allocation matlab genetic algorithm implementations that can be used in weapons distribution, and the knapsack problem.)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

说明：  基于最小方差法低通FIR的设计说明书,单通带,有详细的步骤及相关理论知识(Minimum variance method low-pass FIR-based design specification, a single passband, with detailed steps and theoretical knowledge)

基于MATLAB的QPSK调制解调性能仿真，用simulink仿真QPSK结构。(Based on MATLAB QPSK demodulation performance simulation, using simulink QPSK structure.)

最速下降法和牛顿法，用最速下降法求解无约束问题: min f(x)和用阻尼牛顿法求解无约束问题: min f(x)等(Steepest descent method and Newton method, with the steepest descent method for unconstrained problem: min f (x) and unconstrained problems with damping Newton Method: min f (x), etc.)

关于学习C++的资料，适合初学者使用，有关数学建模(Learning C++ on the information, suitable for beginners, the mathematical modeling)

Licenses and Activator Matlab R2012b

自己写的用Matlab模拟一个缓冲区大小（包括正在服务的那个）为10的随机排队系统。 （1）到达过程是的泊松过程（到达速率为Mu），服务时间服从独立指数分布（均值为1/Lamda）。 对Mu//Lamda=0.2，Mu//Lamda=0.8和Mu//Lamda=1.1三种情况进行仿真，求出队列中接受服务用户为n的概率P(n), n=0,...,10。并与理论结果进行比较。 （2）假设到达过程为均匀过程（到达速率为Mu），服务时间服从独立瑞利分布（均值为1/Lamda）。(yourself writing a simulation using Matlab buffer size (including services that are) for the following 10 Machine queuing system. (1) arrival process is the Poisson process (arrival rate of Mu), submit to independent service index distribution (mean of 1/Lamda). Right Mu// Lamda = 0.2, Mu// Lamda = 0.8 and the Mu// = 1.1 Lamda three of the simulation, Queue calculated users receive services n the probability P (n), n = 0 ,..., 10. And with the theoretical results. (2) It is assumed that the arrival process for the uniform process (arrival rate of Mu), submit to independent service Rayleigh distribution (mean of 1/Lamda).)