dijkbgf-geometric-processing-package-ee58066

Newton-Raphson Power Flow

这是一个探月卫星的控制系统，通过仿真研究了其稳定性和其他相关问题。(This is a lunar satellite control system, its stability through simulation studies and other related issues.)

Biometric Fingerprint, testing application

改进的归一化LMS算法文章，即改进的NLMS论文(Improved normalized LMS algorithm article, that paper improved NLMS)

说明：  自己编的有关粒子子滤波的matlab程序，算是一种滤波工具吧！(Own son of the particle filter matlab program can be regarded as a filtering tool for you!)

MATLAB 牛顿下山法的一个小程序，原理就不详细说了。因牛顿迭代法受初值选取的限制，为防止迭代发散，对迭代过程再附加一项要求:|f(x(k+1))|<|f(x(k))|,将牛顿法迭代的结果:x(k+1) =x(k)-f(x(k))/f (x(k))和前一近似值x(k)适当加权平均做为新的改进值:x(k+1)=u*x(k+1) +(1-u)*x(k),其中u(0<> 迭代时u取1开始，逐次减半计算，直至附加要求符合为止。实例计算中x(k)=x(0)不变，只更新u和x(k+1)，直至:|f(x(k+1))|<|f(x(k))|（即|f(x(1))|<|f(x(0))|)，然后更新下山因子为u=1,继续以牛顿法迭代。(MATLAB Newton-down a small program, the principle is not explained in detail. Newton iteration by the initial value of the selected limit, in order to prevent additional iterative divergence, the iterative process a request: | f (x (k+1)) | < | f (x (k)) | Newton iteration Results: x (k+1) ' = X (k)-f (x (k))/f' (x (k)) and a previous approximation x (k), appropriately weighted average as a new improved value: x (k+1 ) = u* x (k+1) ' + (1-u)* x (k), where u (0 < u> iteration take successive calculated at 50 until the additional requirements found so far. examples of calculation of X ( k) = x (0) unchanged profile u and x (k+1, hungry) until: | f (x (k+1)) | < | f (x (k)) | (i.e. | f (x (1)) | < | f (x (0)) |), then profile downhill factor for u = 1, to continue to Newton iteration.)

蒙特卡罗方法（Monte Carlo method）在通量计算中的应用(Monte Carlo method applied in the flux calculation)

多目标优化问题计算，主要用于工程计算，工程优化。(Multi-objective optimization problem and the calculation, mainly for engineering calculations, engineering optimization.)

this will u in HSPICE tools

正需要这方面的资料,Viterbi算法在业界很强，和大家一起分享交流(Is in need of this information, Viterbi algorithm in the industry is very strong, and we share exchange)