最小二乘曲线拟合

数值分析中用C 语言验证验证Gauss列主元消去法。(Numerical analysis using the C language to verify verify the Gauss column principal component elimination.)

control souce code with LQR

wolfe程序模块的C++算法，可以重复使用,对于解决一维搜索是很好的..(C++ algorithm wolfe program modules can be reused for solving one-dimensional search is good ..)

数值分析中运用matlab用hermit插值多项式逼近函数(Numerical analysis using matlab function hermit interpolation polynomial approximation)

说明：  虽然现在网上的FFT程序很多，但是有的结果是错误的，比如说，经过一次正反变换后，不能得到原来的数列，所以，本人测试了多个程序，提供几个能用的，给大家，希望大家支持！ (Although many online FFT program, but some results are wrong, for example, through a positive and negative change, you can not get the original series, so I tested several programs to provide a few usable for everyone I hope we can support!)

最小二乘估计法在直流电机参数估计中的一个应用，在只已知输入输出数据的情况下，就可以获得电机的内部参数。(DC motor parameter estimation least squares estimation method, in the case of known input and output data only, you can get the internal parameters of the motor.)

3．1 线性方程组类设计 3．2 全选主元高斯消去法 3．3 全选主元高斯-约当消去法 3．4 复系数方程组的全选主元高斯消去法 3．5 复系数方程组的全选主元高斯-约当消去法 3．6 求解三对角线方程组的追赶法 3．7 一般带型方程组的求解 3．8 求解对称方程组的分解法 3．9 求解对称正定方程组的平方根法 3．10 求解大型稀疏方程组的全选主元高斯-约当消去法 3．11 求解托伯利兹方程组的列文逊方法 3．12 高斯-赛德尔迭代法 3．13 求解对称正定方程组的共轭梯度法 3．14 求解线性最小二乘问题的豪斯荷尔德变换法 3．15 求解线性最小二乘问题的广义逆法 3．16 病态方程组的求解 (3.1 system of linear equations class designs 3.2 to choose the principal element gaussian elimination 3.3 to elect principal element Gauss- when approximately the elimination 3.4 duplicate coefficient equation sets all choose the principal element gaussian elimination 3.5 duplicate coefficient equation sets to elect principal element Gauss- when approximately the elimination 3.6 solve three diagonal line equation sets to pursue the law 3.7 common belt equation set s solution 3.8 solution symmetrical equation set s resolution 3.9 solution symmetrical Zhengding equation set s square root method 3.10 solution large-scale sparse equation set to elect principal element Gauss- when approximately the elimination 3.11 solutions hold the Belize equation set s row article to abdicate House Holland who method 3.12 Gauss- the Seydell repetitive process 3.13 solution symmetrical Zhengding equation set s conjugate gradient method 3.14 solution linearity is smallest two rides the questionThe German m)

说明：  FDTD的3D源程序,PEC边界,比较详细(FDTD the 3D source, PEC boundary, a more detailed)

用矩量法(电场结合磁场积分方程)算金属圆柱散射(Using the method of moments (electric field integral equation combined) considered the scattering of metal cylinder)

利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行朴素贝叶斯模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The naive Bayes model is trained with the original features and two normalization features respectively to compare the performance of the model.)