visicity-model

这是非均匀B样条曲线构造方法代码，如果有问题可以邮件联系：wuxiaod1987@163.com(NUBUS Spline Build)

针对于对一般矩阵的求逆，或对复杂系统的求逆(Aimed at the general matrix inverse or inverse complex systems)

用雅可比方法求矩阵的特征值和特征向量的FORTRAN程序(Method using Jacobian matrix of eigenvalues and eigenvectors of the FORTRAN program)

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(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)

ar谱估计，分别用了最小二乘法和yulewalker法。(ar spectrum estimation, least squares method were used and yulewalker law.)

说明：  机器学习的鸢尾花数据集的应用逻辑回归算法分类(Classification of iris data set by logical regression algorithm)

FFT DIF 分裂基的C语言代码，比较好的说明了整个流程(FFT DIF split the base of the C language code, better explains the entire process)

陈国良并行算法实践 －mpi源程序 《并行算法的设计与分析》(parallel computing mpi)

33节点基于前推回代法的含分布式电源配电网的潮流计算程序，其中含支路阻抗的原始数据。(33 nodes with distributed power distribution network procedures, the former push back method, with branch impedance of the original data.)

说明：  基于M估计的迭代最小二乘算法，其中估计量有Huber,Andrews,Hampel,Ramsay等。(M is estimated based on the iterative least-squares algorithm, which estimates there are Huber, Andrews, Hampel, Ramsay and so on.)