STM32 FFT算法

高斯算法用c实现，源代码-Gauss algorithm c realized, the source code

主要用于高层建筑的减振设计,根据线性振动理论,用matlab高级语言编写而成,由一个主程序和四个子程序组成-mainly for high-rise building design of the vibration, linear vibration theory, use the advanced language Matlab has been prepared by a main program and four subroutine composition

禁忌搜索解决TSP的Matlab程序 编的一个很简单的禁忌搜索程序，效果一般，以后还要努力改善。 %keywords:TSP,TS %by Zhaokai,zkcsu@126.com

4个关于二维积分函数的C程序，以及示例，来自《C语言数值常用程序》，所以程序均经过本人测试可以正常使用！-four two-dimensional integral function of the C procedures, as well as examples from the "C language commonly used numerical procedures," and so I have to undergo testing can be used normally.

import java.util.Scanner; public class Packsack{ Scanner sc=new Scanner(System.in); int n;//物品个数 int m;//背包最大容量 int w[];//存储每个物品的重量 int v[];//存储每个物品的价值 int Max[][];//行表示前i个物品，列表示容量j，该值为将前i个物品装入容量为j的最大价值 public Packsack(){ System.out.println("please input the number of goods"); n=sc.nextInt

清华大学2002年出版的《科学与工程数值计算算法Java》配套源码，包括复数计算、矩阵运算、插值计算、线性非线性方程组求解、数值积分、数值拟和与逼近等算法和类，对于科学和工程数值计算很有参考价值！-Qinghua University, in 2002 published "Science and engineering numerical algorithm Java" complementary source, includes the plural, matrix computation, interpolation, linear solve nonlinear equations, numerical integration, and the proposed numerical approximation algorithms and other categories, science and engineering numerical computation of great reference value!

利用matlab实现k均值图像分割算法，k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的

匹配滤波的MATLAB实现，用于随机信号处理的算法演示！-matched filtering of MATLAB for random signal processing algorithm demo!

k-means 算法的工作过程说明如下：首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。-k-means algorithm process as follows: First of all, the object data from the n choose k object as initial cluster centers and the remaining for the other object, then according to their cluster center with those of the similarity (distance) respectively assigned to them with the most similar (represented by cluster center) clustering obtained and then calculated for each new cluster center clustering (all objects in the cluster mean) repeated this process until the standard measure of function until the beginning of convergence.

此代码是用于计算您输入的每个数字的素因数分解。拳头要求您提供输入任意数量要比它开始查找范围从 2 到你的号码/2 内的每一个质数。在那之后，因式分解开始。