SVD

在有限元分析中的网格划分好坏直接关系到模型计算的准确性，这里是关于网格划分的一些讨论。(In in the analysis of finite element mesh is directly related to the accuracy of the calculation model, there is some discussion about grid division.)

利用支路追加法求阻抗矩阵,解：输入数据如下: 请输入节点数:n=a 请输入支路数:nl=b 请输入由支路参数形成的矩阵: B=[i j z bc t it ......]其中ij为支路端点，z为支路阻抗，bc为对地电容，t为变压器变比，it表示i端点是否与变压器直接相连。 (Seek additional method using branch impedance matrix)

计算流体力学讲义（基础篇） 任玉新（清华大学工程力学系 流体力学研究所）(The computational fluid dynamics notes (foundation article))

湍流模型re计算流体力学软件udf 可以用于修改UDF文件(turbulence model FLUENT)

说明：  用Doolittle式的LU分解来求解线性方程组。(Solve the linear equations using Doolittle LU Decomposition!)

给定求解区间，用最小二乘法给出函数的零点，并给出迭代次数(Given the solution interval, the zeros of the function are given by the least square method, and the number of iterations is given.)

A FORTRAN IV function to compute the probability of a standard normal deviate

说明：  包含十个常用的数值分析算法、包括高斯消去法、GIVENS变换等。(Contains ten commonly used numerical analysis algorithms, including Gaussian elimination, GIVENS transformation, and so on.)

使用梯度下降法、随机梯度下降法和牛顿法实现的逻辑回归算法。(Using a gradient descent method, stochastic gradient descent algorithm logistic regression method and Newton' s method to achieve.)

This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP <enter> (This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real) To compile: ICC KMEANS.CPP <enter> )