ICA_PICTURE

两维平面弯曲梁有限元matlab源码，对初学者刚入门很有帮助。(2D FE PROGRAM FOR A BEAM IN BENDING)

一个有用的例子，可能对你的MATLAB学习有用，可以下载(a useful example, you may be right MATLAB learn useful, can be downloaded)

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.)

huffman tree in matlab

模板类名：CircleBuffer 功 能：环形缓冲区 优 点：相对于队列来说减少了很多对地址的反复操作，增加稳定性。(Template class name: CircleBuffer function: the ring buffer Pros: relative to the queue for reduced many repeated operation of the address, to increase stability.)

一篇优秀的无网格伽辽金方法入门文章。这篇文章最好的地方在于——提供了matlab源码。方便大家了解和学习无网格的编程实现(An excellent method EFGM article entry. This article is the best place- to provide a matlab source code. U.S. to facilitate understanding and learning programming meshless realize)

说明：  自己编写的zero forcing equalizer，完全可用(I have written zero forcing equalizer, fully available)

machine learning 方面有关于Generalization and Bayesian Introduction的资料，语言是python(machine learning aspects of information concerning Generalization and Bayesian Introduction, language is python)

多层编码免疫遗传算法实现多目标生产调度问题(Multilevel Coded Immune Genetic Algorithms for Multi-objective Production Scheduling Problem)

平面应力矩形单元有限元分析，并画出网格图形，用星号标记受力点，用叉号标记受约束点，最后求出力、位移和主应力。(Rectangular plane stress finite element analysis, and draw the grid graph, marked with an asterisk stress points marked with crosses by constraints, and finally seek to contribute, displacement and principal stress.)