04470103

说明：  本例是一个采用matlab的GUI生成程序(This example is a GUI generated by the program matlab)

关于流通渠道中生产商与零售商关系的博弈分析(A Game Analysis about Relationship between Manufacturer and Retailer in Circulation Channel )

电磁学代码，matlab编写绝对自己创作的(Electromagnetics code, matlab absolutely prepared their own creation)

一个系统最优控制20维数变量的matlab优化(Optimal control of a variable number of 20-dimensional optimization matlab)

计算四层框架结构的地震反应,包括常用的地震波(Calculate the seismic response of the four-story frame structure, including the commonly used seismic waves)

This code uses lagrange interation to calculte user s position in indoor case.

Helmholtz方程的有限元解法，可以任意加密网格剖分，求解结果用图像显示.(Helmholtz equation finite element method, you can encrypt arbitrary mesh, the image display solution results.)

本程序包主要有5个函数，分别实现了大地坐标与WGS84坐标的转换，卫星位置计算，电离层延迟模型，对流层延迟模型(Delay_of_ionosphere(）Delay_of_troposphere( ） GetSVPos() BLH_to_WGS84( B,L,H ) WGS84_to_BLH(X,Y,Z))

提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观 法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is ​ ​ divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)

计算方法中，拉格朗日插值法的源代码。在最后，绘出了拉格朗日插值法的图像和原图像的比较。原创。(Calculation method, Lagrange interpolation source code. In the end, draw a comparison image and the original image Lagrange interpolation. Original.)