bluetooth-model_true

algoritmic of golden search and fibonacci

0-1整数规划有很广泛的应用背景，比如指派问题，背包问题等等，实际上TSP问题也是一个0-1问题，当然这些问题都是NP问题，对于规模较大的问题用穷举法是没有办法在可接受的时间内求得最优解的，本程序只不过是一个练习，得意之处是用递归法把所有解都排列出来。另：胡运权所著的《运筹学基础及应用（第三版）》第97页的例3，我用本程序求解得到的结果是：最优解是x*=(1,0, 0, 0, 0)，最优值是f(x*)=8，但书求得最优解是x*=(1,0, 1, 0, 0)，最优值是f(x*)=4，是不是书中写错了，请大家验证。以下是源程序，大家可以任意使用无版权问题，另外，如果大家有大规模的0-1规划的问题也希望提供给我，谢谢。变量个数至少是3个(0-1 Integer Programming is a very broad background, such as assignment, bags and so on. actually TSP is a 0-1, of course, these problems are NP, for larger problem with the law is not exhaustive approach in an acceptable time frame to obtain the optimal solution. this procedure is only one practice, farewell tour is the method used recursive all of the solutions to show. Another : Hu Yun-author of "operational research, and application base (third edition)" Article 97 of the three cases, I use this procedure to solve the result is : is the optimal solution x = (1,0, 0, 0, 0), the optimal values of f (x*) = 8, but the book is to find the optimum solution x = (1,0, 1, 0, 0), the optimal values of f (x*) = 4, the book is not a mistake, please certification. Following is the source)

包含有详细的混沌理论优化算法，可以用于控制器参数的寻优(Chaos Theory contains a detailed optimization algorithm, can be used for optimization of controller parameters)

Quantitative Image Recovery From Measured Blind Backscattered Data Using a Globally Convergent Inverse Method

很难下的几篇关于卷积小波包变化的文献，希望能帮到大家！！(It is very difficult on the convolution of several changes in the literature on wavelet packet and hope to help you! !)

最优化算法，包括各种线性优化和非线性优化问题(Optimization algorithms, including linear optimization and nonlinear optimization problems)

直方图均衡。 不利用MATLAB自带的histeq.m函数，自己编写主函数进行直方图均衡化处理(hist equal)

东北大学关于通信信号处理的matlab课件，适合初学者理解学习(Northeastern University, on the communication signal processing matlab courseware, suitable for beginners to learn to understand)

MATLAB求图像中心；包含朴素贝叶斯代码等等(MATLAB for image centers, including plain Bias code, and so on)

一种改进的基于模拟退火的粒子群算法(SimPSO)。将模拟退火算法的思想引入粒子群算法中,并对更新公式进行优化(An improved particle swarm optimization algorithm based on simulated annealing (SimPSO). The simulated annealing algorithm is introduced into the particle swarm optimization algorithm, and the updating formula is optimized.)