elim

平面拟合程序，可进行多点的平面拟合~简便易懂(Plane fitting procedure, the plane can be fitted more easily understood ~)

本书全面系统地介绍了遗传算法的基本理论，重点介绍了遗传算法的经典应用和国内外的新发展。(Genetic Algorithm，GA)

遗传算法的Matlab源代码，能直接运行，适合初学者，很容易上手。(Genetic algorithm Matlab source code, can be directly run, suitable for beginners, very easy to use.)

瑞利噪声和瑞利杂波在matlab中的实现(The realization of Rayleigh noise and Rayleigh clutter in matlab)

学习matlab的资料，包含matlab的练习题和上机训练(Learn matlab materials, including Matlab exercises and computer training)

Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象，这是从师兄哪获得的，希望能提供帮助(Markov random sample program, for the beginner who MRF useful to get an intuitive impression, which is obtained from the brothers which I hope will help)

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.)

Buck Boost converter simulink model

DTMF decoder用matlab实现的DTMF解码的算法(DTMF decoder)

constraint nonlinear optimization