Population-projections-matlab

阵列信号处理程序，不同阵列波束图分析，包括极坐标及不同域的波束图(Array signal processing, different array beam pattern analysis, including the polar coordinates and the beam pattern in different domains.)

说明：  又是一种方式蚁群算法求解旅行商问题的MATLAB源码，可以对比出更改参数时算法效果的优劣。(Ant colony algorithm is a way of solving the traveling salesman problem MATLAB source code, you can change the parameters of the algorithm compared the effect bad. )

his is a direct and complete translation of the Gauss codes of Bai, J. and P. Perron (1998) Estimating and Testing Linear Models with Multiple Structural Changes Econometrica, vol 66, 47-78 and Bai, J. and P. Perron (2003) Computation and Analysis of Multiple Structural Change Models Journal of Applied Econometrics, 18, 1-22, provided by Pierre Perron (version 3, October 11, 2004). All the notice in the original Gaiss codes remain valid. For users, run brcode.m . The procedure is explained in the same m file and in each function file. June 20, 2012 Yohei Yamamoto Email: yohei.yamamoto@econ.hit-u.ac.jp

Advanced Mathematics and Mechanics Applications Using MATLAB - Howard B. Wilson mat lab ö ğ renenler iç in gerekli kaynak

说明：  缴费点选址问题，是数模中的热点，可以通过对最短路程、居民满意度、排队等待时间综合考虑，得到较为全面合理的结果(Payment point location problem is one of several modes in the hot, can by the shortest distance, residents satisfaction, waiting time into account, to be more comprehensive and rational results)

libsvm支持向量机，用于识别分类。本程序成功用于虹膜识别的研究。是嵌入matlab的C程序(libsvm support vector machine, used to identify classification. The success of this procedure for iris recognition research. Is embedded in the C program matlab)

认知无线电中认知用户退避策略建模 ,指数退避策略(Cognitive radio users in cognitive avoidance strategy modeling, cognitive radio users in cognitive modeling strategy retreat, exponential backoff strategy)

leader-follower聚类算法的matlab实现(leader-follower clustering algorithm matlab realize)

一个适用于Matlab的随机抽样一致算法(RANdom SAmple Consensus,RANSAC)工具箱(RANSAC(RANdom SAmple Consensus)Toolbox for Matlab)

对MFO算法飞蛾位置更新方法进行改进，加快其收敛速度(The moths position updating method of MFO algorithm is improved to accelerate its convergence speed)