yuyin

C++程序求两点距离 可以点入坐标点(C++ program distance between two points)

一种利用梯度下降的加速求解低秩矩阵和稀疏矩阵的方法(accelerated proximal gradient method to find low-rank matrix and sparse matrix)

信号维数的估计，计算一维光子晶体的透射特性和反射特性，小波包分析提取振动信号中的特征频率。( Signal dimension estimates, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Wavelet packet analysis to extract vibration signal characteristic frequency.)

python机器学习预测分析核心算法的例程(Python machine learning prediction and analysis of core algorithm routines)

说明：  并联机器人standFord，其数值解及解析解，正解和逆解以及雅可比矩阵及动力学问题分析(Standford series robot, its numerical solution and analytical solution, positive solution and inverse solution, Jacobian matrix and dynamics analysis)

复合材料损伤，复合材料层间分层，损伤，刚度退化、衰减(Composite damage, delamination of composite layers, damage, stiffness degradation, attenuation)

ADI method for solving PDE equations

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)

最小二乘法拟合曲线C++代码，任意的M个数据，任意的次数N(N不易太高)。输出拟合曲线的表达式(Least Squre For ...)

基于matlab AR模型的最小二乘法实现参数辨识，加上Word配合理解，相信你理解的会更快的。(Matlab AR model based on the least squares method to achieve parameter identification, coupled with Word understanding, I believe you will understand faster.)