data-fit

说明：  相场法材料计算的modelc-alloy 对应的基础代码，自取基础有用(The basic code corresponding to modelc-alloy for phase field method material calculation, useful for self-extraction)

计算流体力学有限体积法程序开源代码改进版本，增加了湍流模型(An improved Edition of open source computational fluid dynamics finite volume method program, increased turbulence model)

地统计学中的克里格插值法，Matlab编写，内有详细的说明。(failed to translate)

广义预测控制算法仿真，通过最小二乘法对系统进行在线辨识，并与PID对比，能运行的(Generalized predictive control algorithm simulation, through the of least squares method for on-line identification system, can run)

基于最小二乘法的抛物面拟合，内含有模拟数据和真是数据供参考。(Contains analog data based on the method of least squares parabolic fitting, and is really data for reference.)

传输矩阵法模拟光子晶体的模拟程序，好用，特别对于研究人员！(transfer matrix method photonic crystal simulation and the simulation and ease of use, especially for researchers!)

实现矩阵的四则运算，并能计算矩阵的特征值和特征向量(Four arithmetic operations of matrices are realized, and eigenvalues and eigenvectors of matrices can be calculated.)

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)

金属断裂的数值计算提供理论依据及实际详例解读(The numerical calculation of metal fracture provides theoretical basis and interpretation of practical examples)

compute Bhattacharyya distance between two Gaussian classes