thin_film_N_K_T

傅立叶变换的C语言实现，可在Turbo C以及Visual C++下实现。(Fourier Transform C language, in Turbo C and Visual C under.)

代数多重程序中的 W 循环只适合 4 层 网格的 W 循环( U4EE3 u6570 u591A u91CD u7F51 u683CW u578B)

由美国圣母大学Jena教授及其学生编写的关于计算半导体迁移率的matla脚本文件。(Jena professor from the University of Notre Dame and his students prepare for the calculation of a series of semiconductor mobility matlab script file.)

LDL分解法，用于求解大型的线性方程组。此程序中最多能解100维的，速度还不错(LDL decomposition method for solving large-scale linear equations. This procedure can be up to 100 peacekeepers solutions, speed is not bad.)

可视化MATLAB的雅可比法矩阵特征值算法(The Jacobian France matrix eigenvalue algorithm)

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)

一个案例代码，用最小二乘支持向量机的，预测煤炭量(A case code, using the least squares support vector machine to predict the volume of coal)

高斯回归建立代理模型行协方差函数的选着的变成(gpml-matlab-v3.1-2010-09-27)

说明：  采用误差校正算法改进的粒子滤波器，主要解决粒子滤波局部滤波发散的问题(The use of error correction algorithms to improve the particle filter, the main particle filter to solve the problem of local filtering divergence)

国外的地震有限元程序，美国伯克利大学的，非常经典(Earthquake abroad finite element program, the United States Berkeley, very classic)