giumiu_v41

说明：  模拟退火算法是为了避免求解最优化出现局部极值的问题而提出的算法，保证最终的结果是全局最优的，该matlab源程序能在matlab环境中实现(simulated annealing method is the best solution in order to avoid a partial optimization of extreme concern raised by the algorithm to ensure that the final result is that the global optimum, the source Matlab can achieve Matlab environment)

统计[0, 100] 之间的学生人数并且求出最值和均值(Statistics [100], the number of students and find the best value and the mean)

control souce code with LQR

最小二乘支持向量机做预测。程序可运行学习。在matlab上运行。(This is a program about prediction using LSSVM.It can run successfully for learning.This program can be used on matlab.)

改进的极限学习机算法，具有更好的预测性能和稳定性(Improved limit learning machine algorithm)

在visual c++6.0的环境下，使用C++语言编写的最小二乘法程序。(In visual c++6.0 environment, using C++ language least squares procedure.)

最小二乘法(LS)仿真三个参考节点定位一个定位节点，包括仿真参数和过程数据收集(Least squares (LS) simulation of three reference nodes positioning a positioning node, including the simulation parameters and process data collection)

里面包含了随机矩阵理论里经典的仿真，如marcenko-pastur law,tracy-widom law等(It contains some classical simulationa in the random matrix theory，such as marcenko-pastur law,tracy-widom law)

说明：  这是数值分析的一些作业实验，文件中有详细的文档对理论，实验和算法的说明，用于病态方程组求解的源代码(This is the numerical analysis of the experimental operation, the paper detailed documentation of theory, experiment and the algorithm shows that morbid equation for solving the source code)

边界元法，可以求解外声场、内声场,在此基础上可以开发出快速边界元法(boundary element method for acoustic problem)