multifactor

本文为基于matlab的粒子群算法的程序，以求函数最小值为例，讲述如何用粒子群算法求得局部和全局最优解。(This article is based on particle swarm algorithm matlab procedures, in order to the minimum function, for example, on how to use PSO obtain local and global optimal solution.)

1,某厂向用户提供发动机，合同规定，第一、二、三季度末分别交货40台、60台、80台．每季度的生产费用为 f=ax+bx^2（元），其中x是该季生产的台数．若交货后有剩余，可用于下季度交货，但需支付存储费，每台每季度c元．已知工厂每季度最大生产能力为100台，第一季度开始时无存货，设a=50、b=0.2、c=4，问工厂应如何安排生产计划，才能既满足合同又使总费用最低． 2,函数的输入为A,B两个矩阵，实现如下功能：从A矩阵中找出与B完全相同的子矩阵，并将该子矩阵左上角的位置保存到2*n的向量index中，最后函数返回A中所有与B完全相同的子矩阵的左上角坐标。(1, a factory to provide users with the engine, the provisions of the contract, first, second and third quarter, respectively Delivery 40 units, 60 units, 80 units. The production cost of each quarter the f = ax+bx ^ 2 ($), where x is the number of Taiwan-quarter production. If after delivery, the surplus can be used for delivery next quarter, but to pay the storage fees, each quarterly c. Factory known each quarter of the maximum production capacity of 100 units of stock in the first quarter, setting a = 50, b = 0.2, c = 4, asked how the factory should arrange production plan, in order to both meet the contract and the lowest total cost of . 2, the function' s input is the two matrices A, B, to achieve the following functions: to identify from the matrix A and B are identical sub-matrix, and a position in the upper-left corner of the sub-matrix is ​ ​ saved to the vector index of 2* n, The last function returns the coordinates of the upper left corner of the sub-matrices A)

slm method for papr ofdm.10000,working.for d=2,3.slm method for papr ofdm.10000,working.

最经典AdaBoost实现，适合初学，有大量详细的注释，容易理解(This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" 。)

说明：  离散信号Gabor展开的理论及实现颇为繁琐。其中包括离散Gabor变换的标架理论、周期序列的离散Gabor变换、非周期序列的离散Gabor变换以及各种快速算法等。此程序给出给出了一个线性调频信号的Gabor变换。(Gabor expansion of discrete signals and the realization of the theory is quite cumbersome. Including discrete Gabor transform frame theory, the periodic sequence of discrete Gabor transform, non-periodic sequence of discrete Gabor transform and a variety of fast algorithms. This procedure gives a linear FM signal is given the Gabor transform.)

matlab图像处理基础2013修改版 中国科学技术大学MATLAB课程课件(matlab image processing based on a modified version of 2013)

改进的正则化正交匹配追踪算法代码，对正则化的规则进行了修改(Improved regularized orthogonal matching pursuit algorithm code for regularization rules were modified)

用matlab 计算李雅普诺夫指数以及洛伦兹模型的实现(Calculated using matlab Lyapunov index and the Lorenz model realization)

该程序用于实现零相位滤波,求系统的群延迟，调用格式大大简化，通俗易懂。(This is for everyone who is major in the communication project.)

人员疏散过程建模仿真 采用元胞自动机的方法 对公共安全中的人员疏散问题进行了分析，在此基础上提出了一系列的基本假设，建立了人员疏散模型（Occupant Evacuation Model），并用Matlab实现了仿真程序。 通过在不同初始条件下的多次仿真测试，比较了不同条件下的仿真结果，由此提出了一些公共场所提高安全防范的措施和人员疏散方法的建议，以使灾害发生时尽量减少人员伤亡。 (Evacuation process modeling and simulation)