fdtd3D_pec

matlab完美解决旅行商问题。蚁群算法。(traveling salesman problem matlab perfect solution. Ant colony algorithm.)

MATLAB教程(图形图像处理及MATLAB实现)-清华大学出版社(MATLAB Tutorial (graphics, image processing and MATLAB realization)- Tsinghua University Press)

状态估计的gui,运用matpower,实现状态估计，里面还调用多个自己编的程序(Gui of State estimation)

An immutable sorted set with one or more elements.

用于大地高程拟合，对于大量数据局有较好拟合效果(Elevation fitting)

利用MATLAB实现了跳频信号的调制和解调，给出了频谱图。(The use of MATLAB implementation of the frequency hopping signal modulation and demodulation, give the frequency spectrum.)

VECTORES ANALISIS COMPLETO

雅克比（Jacobi）迭代法. 设有n阶方程组. （4.1）. 若系数矩阵非奇异，且 (i = 1, 2,…, n)，将方程组（4.1）改写成. 然后写成迭代格式 (Jacobi (Jacobi) iterative method. With n-order equations. (4.1) and if non-singular coefficient matrix, and (i = 1, 2, ..., n), the equations (4.1) rewritten and then write into the iterative ...)

实现深空轨道的仿真运行，而且精度很高，最后可以实现模块化功能，简单~(space exploration orbit design)

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)