▍1. FDTDMATLAB
1维等离子体FDTD的Matlab的两种方法(One-dimensional FDTD plasma of the two methods of Matlab)
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▍2. TDtest
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)
▍3. mtl_reg_sim_complinearized
多元非线性回归——岭回归方法，比常规的最小二乘更适合数据量较大的优化问题(Multiple nonlinear regression- ridge regression method is more suitable than the conventional least squares optimization problem of the large amount of data)
▍4. Chazhi_Nihe
对大量数据的差值与拟合算法的Matlab实现，基于多用思想(The difference of large amounts of data fitting algorithm of the Matlab implementation, based on multi-thinking)
▍5. ZCXLJ
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)
▍7. kring123
克里金(Kriging)插值法又称空间自协方差最佳插值法，它是以南非矿业工程师D．G．Krige的名字命名的一种最优内插法。克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．(Kringing smooth)
▍8. eeglab
说明： 这是一个处理脑电信号的程序，可以辅助脑电信号处理程序的使用(This is a process of eeg signal, can assist the use of eeg signal processing program)
▍10. Mur3DFDTD
说明： 三维FDTD,matlal编程,mur边界条件,平面波光源(Three-dimensional FDTD, matlal programming, mur boundary conditions, plane wave light source)
▍12. office10help
传热计算，有限差分法对传导方程进行离散，纯隐式差分(numerical heat transfer)
▍13. FDTD for optical waveguides.rar
本程序是采用FDTD算法结合PML吸收边界，对对称三层平板光波导的模式场仿真(This program uses FDTD algorithm and PML absorbing boundary to simulate the mode field of symmetrical three-layer planar optical waveguide.)
▍14. FDTD for optical waveguides.rar
说明： 本程序是采用FDTD算法结合PML吸收边界，对对称三层平板光波导的模式场仿真(This program uses FDTD algorithm and PML absorbing boundary to simulate the mode field of symmetrical three-layer planar optical waveguide.)
▍16. SMUSIC
单次快拍 MUSIC 算法，这种单次快拍 MUSIC 算法仅利用接收的一次快拍的 M（M 为阵元数）个数据，通过对这 M 个数据做统计处理，来估计阵列数据的协方差矩阵(Single snapshot MUSIC algorithm, this single snapshot the MUSIC algorithm only receiving a snapshot M (M array element number) data, statistical treatment of these M data to estimate the array data co covariance matrix)
▍19. FE_STructure
根据分好的单元，进行有限元分析。计算每个单元中四个高斯点的应力，应变，主应力以及位移。(According to sub-good unit, finite element analysis. Calculated for each unit in the four Gauss point stress, strain, principal stresses and displacements.)
▍20. hanshuubijin
用切比雪夫多项式逼近已知函数 用勒让德多项式逼近已知函数 用帕德形式的有理分式逼近已知函数 用列梅兹算法确定函数的最佳一致逼近多项式 求已知函数的最佳平方逼近多项式 用傅立叶级数逼近已知的连续周期函数 离散周期数据点的傅立叶逼近 用自适应分段线性法逼近已知函数 用自适应样条逼近（第一类）已知函数 离散试验数据点的多项式曲线拟合 离散试验数据点的线性最小二乘拟合 离散试验数据点的正交多项式最小二乘拟合 (By using Chebyshev polynomial approximation of the known functionApproximation of the known functions by Legendre polynomialsApproximation by rational fraction of known function in the form of PadmaTo determine the best uniform function polynomial approximation with the Lemez algorithmThe best known polynomial square for function approximationContinuous periodic function with Fourier series approximation of the knownApproximation of discrete data points in the Fu Liye cycleApproximation of the known function with adaptive piecewise linear methodAdaptive spline approximation ( first class ) known functionPolynomial curve fitting of discrete data pointsLinear least squares fitting of discrete data pointsOrthogonal polynomial least squares fitting of discrete data points)
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