FFTfenxixiangweicha

移动最小二乘曲线拟合原理，论文中分析了一维和二维的例子，并且同最小二乘法进行比较。(Moving least squares curve fitting principle, the paper analyzes the one-dimensional and two-dimensional case, and compared with the least squares method.)

说明：  利用matlab求解方程，方程求解并画图(Equation solving and drawing)

三维数据点拟合空间球体的算法，利用最小二乘法实现空间球的拟合。(3D data points fitting the space sphere algorithm using the method of least squares fitting space ball.)

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)

常用的积分函数，能够很方便的解决数值积分的问题(Commonly used integral function, can be very convenient to solve the problem of numerical integration)

最小二乘递推算法及其matlab实现（计算估计值）(least squares method)

说明：  采用有限元及有限差分的方法进行微分方程的求解(This book is introduction to finite difference and finite element methods is aimed at advanced undergraduate and graduate students who need to solve differential equations. T)

Echo cancellation using NLMS adaptive filter

研究生动力学课程，计算多体动力学课程， 学习起来有点难度，如果有兴趣就看看吧(Graduate dynamics course)

this is a source code written in the matlab format for the teaching learning optimization algorithm.