vss-nlms

三相潮流计算，使用的是牛顿拉弗逊方法。迭代较快。是解决潮流的较有效的方法。(Three-phase power flow calculation, using Newton' s method Laffer Johnson. Iterate rapidly. The trend is to solve the more effective method.)

隐式及显示技术模拟复合材料结构的固化，UMAT程序(Cure Simulation of Composite Structures Applying Implicit and Explicit FE Techniques)

sorting different kind of arrays

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

通过matlab计算allan variance，较为复杂，注释详细(Matlab Allan variance, more complex, detailed notes)

说明：  迭代算法中的多重网格计算程序Visual C++原代码(iterative algorithm of multiple grid computing procedures Visual C source code)

计算离散傅里叶变换的一种快速算法，简称FFT。快速傅里叶变换是1965年由J.W.库利和T.W.图基提出的。采用这种算法能使计算机计算离散傅里叶变换所需要的乘法次数大为减少，特别是被变换的抽样点数N越多，FFT算法计算量的节省就越显著。(A computing discrete Fourier transform fast algorithm, referred to as FFT. Fast Fourier Transform in 1965 by the JW Cooley and TW Tuji Ti out. Using this algorithm enables a computer to calculate the number of multiplications needed for the discrete Fourier transform greatly reduced, especially sampling points N is transformed more and save FFT algorithm to calculate the amount of the more remarkable.)

用matlab仿真，通过不同的方法计算矩阵的SVD分解，并用SVD的方法计算最小二乘问题和进行图像压缩(Matlab simulation, different ways to calculate the matrix SVD decomposition and the SVD method to calculate the least squares problem and the image compression)

对于chebyshev法只能对于均匀线阵，本程序实现对任意结构阵列的波束优化(Chebyshev method for only the uniform linear array, the program structure of arbitrary beam array optimization)

用SVD奇异值分解法和阻尼最小二乘算法解决地球物理反问题，程序比较简单易懂(Using SVD, singular value decomposition method and damped least-squares algorithm to solve geophysical inverse problem, the procedure is relatively simple to understand)