nenkiu_v58

一个用FTT法实现相关函数的快速估计程序(A correlation function with the FTT method to achieve the rapid estimation procedures)

说明：  LMF方法解非线性方程组，有例子，可以直接运行！(LMF method to solve nonlinear equations, there are examples, can be directly run!)

该软件主要应用是采用高斯正反算进行换带计算的。(The software application is used mainly Gaussian with positive and negative exchange balance calculation.)

说明：  四阶龙哥库塔方法求解一阶微分方程的数值解法，能自定义迭代步数和迭代精度，非常适合于计算方法的初学者。(Long Ge Kuta fourth-order methods for a numerical solution of differential equations can be customized and iterative iterations precision calculation method is suitable for beginners)

说明：  球形粒子Mie 散射用Matlab编写的Mie theory计算程序。在光子学中运用广泛，使用非常方便(Mie scattering of spherical particles prepared by using Matlab program Mie theory. In the use of photonics in a wide range of very convenient to use)

电力系统谐波潮流计算程序，根据各个节点谐波电力发射值采用解耦算法计算各个节点谐波电压(Harmonic voltage power system harmonic flow calculation procedures decoupling algorithm based on the harmonic power emitted value of each node, each node)

采用动量梯度下降算法训练BP网络，采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络(Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to facilitate the training of BP network)

数值计算的算法，采用c++实现，移植容易，一定能够用。(Data processing)

weno5求解sod激波管问题，是初学计算流编程时做作业的题目，供参考(sod shock problem solve by weno5 for reference)

PCA算法程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量 (PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)