非线性方程组求解

同时正交匹配追踪算法的MATLAB程序，一些文献中也被翻译成同步正交匹配追踪。(Simultaneous Orthogonal Matching Pursuit(SOMP))

三维Hashin准则，分层准则的渐进损伤失效模拟子程序(progress damage evaluation)

非线性有限元及程序这本书,很有用的，程序也很全面(NONLINEAR FINITE ELEMENT AND PROGRAM)

计算在不同湿度下，不同频率下，大气的衰减系数。(Calculation under different humidity, different frequencies, atmospheric attenuation coefficient.)

编程序，按如下要求来求解n元一次线性方程组（假设方程组具有唯一解）。 （1）方程个数n之值由用户通过键盘输入； （2）方程组存放在“增广矩阵”A之中，而n行n+1列的A存储空间通过new来动态分配，且A的各元素值也由用户通过键盘输入 (Allocation procedures, the following requirements to solve the n-a system of linear equations (assuming a unique solution of equations). (1) the number n of the value equation by the user through the keyboard input (2) equations stored in the augmented matrix A, while n line n+ 1 column A storage space through the new dynamically allocated, and A The value of each element by the user through the keyboard input)

关于非线性离散系统辨识，小波包分析提取振动信号中的特征频率，有小波分析的盲信号处理。( Nonlinear discrete system identification, Wavelet packet analysis to extract vibration signal characteristic frequency, There Wavelet Analysis Blind Signal Processing.)

一维 问题，即激波管问题，是一个典型的一维可压缩无黏气体动力学问题，并有 解析解。对它采用二阶精度 两步差分格式进行数值求解。(Use MacCormack difference scheme for solving a two-dimensional shock tube problem)

使用labview实现傅里叶变换的子VI，labview版本为8.5.(Fourier transform using labview to achieve the sub-VI, labview version is 8.5.)

欧拉向后差分格式的程序文件，可直接调用，在科学计算中有很重要的应用.(Euler backward difference scheme of program files can be called directly,which have important applications in scientific computing.)

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)