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说明：  通过求矩阵特征多项式的根来求其特征值 幂法求矩阵的主特征值及主特征向量 瑞利商加速幂法求对称矩阵的主特征值及主特征向量 收缩法求矩阵全部特征值 收缩法求矩阵全部特征值 位移逆幂法求矩阵离某个常数最近的特征值及其对应的特征向量 QR基本算法求矩阵全部特征值 (Characteristic polynomial by the root of a matrix to find the eigenvalues ​ ​ of a matrix power method and the main characteristics of the main features of the value of acceleration power vector Rayleigh quotient method Symmetric Matrix Eigenvalue and the main characteristics of the main vector of contraction method to shrink the value of all the characteristics of a matrix Law of the value of all the characteristics of a matrix inverse power law shift away from a constant of a matrix eigenvalue recently and its corresponding eigenvector matrix QR algorithm for getting all the characteristics of the basic values)

用matlab实现的多站定位系统性能仿真(Using matlab to achieve multi-station location system performance simulation)

The Effect of LiDAR Data Density on DEM Accuracy

介绍了几款数学软件的使用，其中包括mathematica matlab 以及SAS，内容涵盖了数值处理和求解方程组等。(Describes the use of several mathematical software, including mathematica matlab and SAS, which covers the numerical processing and solving equations and so on.)

一个简单的gui界面，有具体的m文件格式，简单易懂(A simple gui interface, there are specific m-file format, easy to understand)

一个适合初学者学习和应用扩展的基于matlab的鼠标跟踪实例(mouse tracking)

说明：  algorithm and simulation of Model predictive control law using matlab with or without constraints

Voice activity detection using peakiness criterion.

K means implementation

shows how signals work in plots complex signal A*(sin(w)+cos(w))