SharpPart

这个是一个排序熵的程序，它能够达到信息熵的目的，算是一个改进的方法。应用起来比较方便(This program is a sort of entropy, it can achieve the purpose of information entropy can be regarded as an improved method. Was easier to apply)

用MFC对话框做的ofdm系统的仿真程序，很形象，比较适合ofdm的初学者(To do with MFC dialog ofdm system simulation program, it is the image more suitable for beginners ofdm)

说明：  该程序是采用MATLAB编写的一个二维优化算法，对于初学者很有用！(that the procedure was prepared by using MATLAB a two-dimensional optimization algorithm, very useful for beginners!)

FDTD时域差分 边界MUR MATLAB编程(Difference time domain FDTD boundary MUR MATLAB Programming)

The function conload takes a dataset and a model (PCA, PLS, PARAFAC etc.) and calculates congruence loadings which is the extension of correlation loadings to uncentered and multi-way models(The function takes a dataset and a m odel (PCA, PLS, B6 etc.) and calculates congruence loadi ngs which is the extension of correlation loadi ngs to uncentered and multi-way models)

this program can simulate DBR OLED. structure of OLED is three DBR layer-anode-two grganic layer-cathode. with this program, ueser can optimize the thickness of DBR layer

基于前推回代发的潮流计算 可计算网损和节点电压，节点有功无功(Calculate calculate net loss and node voltage, active and reactive nodes based on forward and backward substitution hair trend)

说明：  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 shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

Modeling and control wind turbine

The eff ect of thyristor-controlled series capacitors (TCSC) on bifurcations of subsynchronous resonance (SSR) in power system