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自适应滤波器的LMS算法实现，主要实现滤波和算法的方法。(adaptive filter)

电磁炉原理及维修请大家参考，如有问题，请与我联系(Induction Principle and maintenance please refer to, if there are questions, please contact me)

膜渗透 FUENT UDF 气液两相流 (Gas-liquid two-phase flow membrane permeation FUENT UDF)

基于最小二乘位置估计定位方法（三维的）可产生图((Three-dimensional) positioning method based on least squares position estimation in Figure)

基于matlab的约束非线性规划算法库，适于学习！(Matlab-based algorithm for the constrained nonlinear programming library, suitable for learning!)

GPS卡尔曼滤波仿真 read eph_data (GPS Kalman filter simulation read eph_data)

说明：  统计学习经典教材，面试必备，详细介绍支持向量机、Boosting、最大熵、条件随机场等十个统计学习方法。(Classic textbooks for statistical study are essential for interviews)

abaqus三维8节点实体单元Fortran子程序，里面有详细的注释，有单元开发兴趣的同学可以下载学习(The fortran subroutine of the 8 node solid element of ABAQUS, with detailed comments in the unit development interest students can download learning)

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)

陈国良并行算法实践 －mpi源程序 《并行算法的设计与分析》(parallel computing mpi)