newton

基于模糊的聚类，是一种软聚类。但是不能避免全局最小点(Based on a fuzzy clustering, is a soft clustering. But you can not avoid the global minimum point)

航迹规划算法，能够有效规划出最优路径，达到最优效果(Route planning algorithm can effectively plan out the best route to achieve optimal results)

通信信号处理中HDB3的编解码 ，matalab仿真程序(HDB3 encode decode)

data mining algorithm

这个函数的功能主要是用来求样本点到蕨类中心的距离(find the distencebetween the sample and cluster)

说明：  基于kpca以及pca,pls,dpls流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单(Based on kpca and pca, PLS, DPLS manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is simple)

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.)

关于pso的相关源代码，注释详细，可供参考(About the pso relevant source code, comments detailed. )

动力学分析的五种算法，分别是模态叠加法、Newmark积分算法、中心差分算法等m文件代码(m-codes about dynamic analysis )

基于马尔科夫链概念，5*5矩阵的概率转移矩的matlab实现(Based on the concept of Markov chain, the realization of the 5* 5 matrix s transfer probability matrix in matlab)