数据结构图操作

本代码是《计算机常用数值计算算法与程序 C++版》一书的配套线性方程组求解代码，这些C++程序已经在Virsual C++ 6.0环境下通过。注意，在VC++ 6.0中设置好路径，特别是include目录(文件夹)的路径，否则在编译时会出现找不到头文件的错误，使编译无法正常进行。-the code is "commonly used computer numerical algorithms and procedures C version," a book supporting the linear equation solving the code, these procedures have been in C C 6.0 Virsual environment through. The attention of the VC 6.0 installed path, in particular include directory (folder) path, otherwise there will be compiled header files could not find the mistakes and the compiler not normal.

*   To factor the n by n matrix A = (A(I,J)) into the product of the*   lower triangular matrix L = (L(I,J)) and U = (U(I,J)), that is*   A = LU, where the main diagonal of either L or U consists of all ones:**   INPUT:   dimension n; the entries A(I,J), 1

椭圆拟合的误差算法，拟合点到椭圆心的距离减去拟合点对应在椭圆上的点到椭圆心的距离，有效分析椭圆拟合的误差问题，并让其在对话框中显示出来-The error ellipse fitting algorithm, fitting point to the ellipse center distance minus the corresponding fitting point on the ellipse to the ellipse center point of the distance, the effective analysis of the error ellipse fitting problem, and let it be shown in the dialog box

程序在Visual C ++，它使用最好优先算法来解决河内塔。还实现了一个图形导航和交互的键盘接口供其使用。来自包括指令和源代码，再加上必要的纹理和.exe文件的文件

/******************************************************************************* Platform : ATmega128 mini开发板（http://bbs.armavr.com） Project  : 实验一：8种LED点亮模式 Clock F  : 7.3728M Software : WinAVR-20100110 Author   : 林夕依然 Version  : 11.04.27 Updata   :  comments : 1、以学习板八个LED灯为硬件电路,LED_EN短路块需装上 2、练习简单延时函数的编制 3、AVR单片机端口寄存器的使用及理解 4、练习程序模块化，结构化的书写

bm算法的delphi实现-bm algorithm to achieve the delphi

舆情系统搜索核心代码，主要是针对百度，谷歌搜索整理！

介绍kalman filtering 的word文档，里面有关于kalman filtering五个重要公式的详细推导过程，对于初学者理解kalman filtering相当有用-Kalman filtering, introduced the word document, there are five important kalman filtering on a detailed formula derivation process, kalman filtering for beginners to understand very useful

应用背景以文档形式上传，详细分析了最长公共子序列问题，并附有源码和运行结果关键技术源码用C++语言编写，在VC和VS环境下可运行

根据粒子滤波与camshift结合的算法，效果还可以，采用手动选择目标。能够有效的完成多目标的跟踪，能够对人体车辆，行人，人脸多目标进行跟踪。