堆排序算法实例C实现代码

函数和过程： 1.Heapify 2.建堆 3.插入 4.提取最大 5.增加的关键 6.初始化 7.打印堆 从文件堆成 8.读取文本)

建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲 面拟合方法 这种方法对传统的最小二乘(LS)法的作了比较大的改进 使生成的曲线曲面具 有精度高 光滑性好等许多优点 详细介绍了移动最小二乘法的原理 应用和特点 并且给 出了使用移动最小二乘法进行曲线曲面拟合的程序设计流程 最后给出了曲线拟合和空间散 乱数据曲面拟合算例 将拟合结果与最小二乘拟合结果作了比较 分析了 MLS 拟合曲线曲 面的光滑性和拟合质量 表明了该方法的优越性和有效性-Was established based on moving least square (Moving Least-Squares MLS) method of this curve and surface fitting method to the traditional method of least squares (LS) method was relatively large improvements to make the generated curves and surfaces with a precision of High smoothness, good detail, and many other advantages of the principle of least-squares method for mobile applications and features and gives the least-squares method using the mobile curve and surface fitting procedure design process Finally, curve fitting and spatial scattered data surface to be cost-effective cases of the results of the fitting results are compared with the least-squares fitting analysis of MLS fitting curves and surfaces smooth and fitting quality demon

Differential evolution: A simple and efficient heuristic for global optimization over continuous spaces. This code implements a basic multi-objective optimization algorithm based on Diferential Evolution (DE) algorithm. When one objective is optimized, the standard DE runs; if two or more objectives are optimized, the greedy selection step in DE algorithm is performed using a dominance relation.

矩阵运算--Matrix calculation

本程序提供三矢量混合积的计算，采用matlab实现-procedures for the three mixed vector plot calculated using Matlab to achieve

AOE网算法，VC实现-AOE network algorithm, VC

dijkstra求最短路:最短路问题是重要的最优化问题之一，它不仅可以直接应用于解决实际的许多问题，如管道铺设、线路安排、厂区布局、设备更新等，而且经常被作为一个基本工 具，用于解决其他问题。对于两点间的距离大于或者等于0的问题而言，目前公认的最好的方法是由Dijkstra于1959年提出来的。

使用汇编语言，将十六进制转化为二进制和十进制并输出显示。从键盘输入一个2位无符号的16进制数（00H~FFH），然后在显示器上同时以二进制和十进制形式显示出来。例如：  Pleaseinput N(00H-FFH): 9B          N= 9BH = 10011011B = 155

fastica C++实现,很简单的,很容易看的 

本程序可以对那些数值超出整形的大整数进行+ - * % 运算欢迎大家使用并提出宝贵修改意见 -the procedures for those values beyond the plastic for the integer-*% Operational Everyone is welcome to use and valuable changes