JAVA 100种算法源码

#include "string.h"  #include   #include   #define M 5  #define N 3  #define FALSE 0  #define TRUE 1  银行家如何进行投资的简单算法

一个java的tabu search算法框架-one of tabu search algorithm framework

用于链表数组堆栈课程设计，作为一个模板以供使用。调试结果显示符合要求。

mathimatics library for pascal, include fft,function interpreter, derivative,solve sytem of lineal ecuacion by gauss .. and 2 examples-mathimatics library for pascal, include fft,function interpreter, derivative,solve sytem of lineal ecuacion by gauss .. and 2 examples

这三段C程序能够产生符合高斯、瑞利和泊松分布的随机数，并且包括关于它们的说明文档-These three paragraphs C program to generate consistent with Gaussian, Rayleigh and Poisson distribution of random numbers, and includes documentation about them

线性的插值算法，内涵读取文件，算法实现和写入文件。读取的文件为PARCHG，写入的文件为INSERT_DATA-Linear interpolation algorithm, meaning to read documents, algorithm implementation and write to a file. Read documents PARCHG, written documents INSERT_DATA

问题描述鲍伯有一辆新车。他很乐意带他女朋友长的驱动器。有 N 个城市和 N-1 双向道路的国家还有顶多是每一对城市之间移动的一种方法。他的女朋友想要长的驱动器。她想要跨尽可能多的城市可能驱动器中这样没有一个城市被不止一次跨越。你能告诉他们可以通过而无需再次前往同一城市的城市的最大数目吗？输入输入第一行包含一个整数 T 表示测试用例的数目。T 测试用例的描述如下： 第一行的每个测试用例包含整数 N 表示多个州的城市。接下来的 N-1 行包含 N-1 城市间的道路。每一行都包含一对 （u，v） 意味着你和市有一条路是城市之间 v

平均因子分解法，适用于正定矩阵First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X=U U, where U is the square root matrix of X, and satisfies: (1) U U = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is "positive definite" which guarantees the existence of such kind of decomposition. -Average factor decomposition method applied to positive definite matrix First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X = UU, where U is the square root matrix of X, and satisfies: (1) UU = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is positive

本代码为基本粒子群算法，通过修改适应值函数，可以应用于多个领域，比如电力系统的相关参数的优化设置，如陷入局部最优，需引入变异函数，通过重置某一维的数值，使粒子脱离局部最优。

BASE64是将2进制数据转换为字符串的常用编码方式，在。NET中有现成的类可以使用，但是C++就得自己按照算法实现了。现将C++的实现共享。包含单元测试代码。