MATLAB-statistical-analysis

说明：  编写程序：基类base，有一个私有数据成员n，派生类Derived公有继承基类base，Derived中新增加一个数据成员m(Programming: the base class base, there is a private data member n, the derived class Derived inherits the base class public base, Derived add a new data member m)

介绍了如何利用Mathh的Realtime Workshop代码生成工具将Simulink模型自动转换成C代码的方法(This paper proposes a method of using the RTW (Real-Time Workshop)code generation tool to convert Matlab to the C code．)

matlabcode for statics information bla bla

说明：  protocol implementation for viewing TELEMECHANIC DATA

shadow detection paper from net,it is value

matlab c++对接matlab c++对接(matlab c++)

说明：  显示具体日期、多种整体风格还有多种日期格式(Show specific date, a variety of overall style, there are many date formats)

矩量法是求解电磁场边界值问题中一种行之有效的数值方法.它所做的工作是将积分方程化为差分方程,或将积分方程中积分化为有限求和,从而建立代数方程组,故它的主要工作量是用计算机求解代数方程组.所以,在矩量法求解代数方程组过程中,矩阵规模的大小涉及到占用内存的多少,在很大程度上影响了计算的速度.如何尽可能的减少矩阵存储量,成为加速矩量法计算的关键.此处介绍了方法(MoM is the solution of electromagnetic field boundary value problem in an effective numerical method. It is the work done by integral equations into differential equations, or integral equations into a finite sum of points, so as to establish algebraic equations Therefore, it is the main workload of the computer to solve algebraic equations. Therefore, in the moment method for solving algebraic equations, the matrix size relates to the amount of memory, to a large extent affected the speed of calculation. how to maximize the reduction of matrix storage has become accelerated MoM calculation of the key. introduce the method here)

MATPOWER是MATLAB的M文件包® 求解潮流和最优潮流问题。它的目的是作为一个研究者和教育者，是易于使用和修改仿真工具。MATPOWER是设计给最佳的性能，同时保持代码的简单理解和修改。它最初是为POWERWEB项目的一部分。(MATPOWER is a package of MATLAB® M-files for solving power flow and optimal power flow problems. It is intended as a simulation tool for researchers and educators that is easy to use and modify. MATPOWER is designed to give the best performance possible while keeping the code simple to understand and modify. It was initially developed as part of the PowerWeb project. )

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)