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哈弗曼编码的原程序代码，用于嵌入图像编码的源程序。(Havermann encoding the original program code, source code for the embedded image.)

NSString框架的学习，包括NSNumber等 NSString框架的学习，包括NSNumber等(NSString framework of learning, including learning NSNumber etc. NSString framework, including NSNumber etc.)

基于matlaB工具的一种简单的关于K_means聚类的算法(A simple clustering algorithm on K_means)

说明：  自己照书编写的基于量子遗传算法的寻优程序，赚取积分啦(According to the book written themselves based on quantum genetic algorithm optimization program, earn points friends)

将二维数据转换成libsvm格式的程序，matlab格式文件，可作函数调用。(Will be two-dimensional data into libsvm format procedures, matlab format and can be used for function calls.)

说明：  学习matlab的资料，包含matlab的练习题和上机训练(Learn matlab materials, including Matlab exercises and computer training)

基于DCT离散余弦变换的JPEG数字图像压缩MATLAB程序。(Discrete cosine transform DCT-based JPEG image compression MATLAB.)

时间序列工具箱,包含大量的时间序列处理函数，非常好用的工具箱！(Time series toolbox contains a large number of time series processing function, very useful toolbox!)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)

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