最小二乘一次完成算法，C语言编写，源码，调试通过。

本程序能产生大部份实用随机数：产生一个[0,1]区间内均匀分布伪随机数、产生多个[0,1]区间内均匀分布伪随机数、产生任意[a,b]区间内一个均匀分布伪随机整数、产生任意[a,b]区间内均匀分布伪随机整数序列、产生一个任意均值与方差的正态分布随机数、产生任意均值与方差的正态分布随机数序列-look it yourself

浮点转换器，可以对十进制定点数、浮点BCD码和二进制浮点操作数之间进行相互转换。-float converters, and can set the decimal points. BCD floating-point and binary floating-point operation between several mutual conversion.

#include #include #include #include using namespace std;class Queen{ friend int nQueen(int);private: bool Place(int k); void Backtrack(int t); void Output(); int n,//皇后个数  *x;//当前解 long sum;//当前已找到的可行性方案数};bool Queen::Place(int k){ for (int j=1;jn) {  sum++;  Output(); } else {  for (int i=1;i

偏微分方程的解法大全，数值分析应用非常好的程序。-Partial Differential Equation Daquan, a very good application of numerical analysis program

C++Primer第五版课本源代码,与课本同步，尽可能的提高初学者学习C++的速度和深度 C+Primer+Plus +5th+Edition

This is a small program for bipartite matching-This is a small program for bipartite matching...

c语言程序，无论初学还是一些深入程序，都可以在这里找到，希望可以帮到你，有点语言问题，不大会写，请原谅，

crc32 算法的delphi实现。并且可以对指定文件进行校验。-CRC32 algorithm delphi realize. And can be carried out to check the specified file.

一个简单的计算器程序，进行简单的数学计算，正确无误-A simple calculator program to carry out simple mathematical calculations are correct

逐次超松驰迭代法(Successive Over Relaxation Me thod,简称SOR方法)是高斯―塞德尔方法的一种加速方法，是解大型稀疏矩阵方程组的有效方法之一，它具有计算公式简单，程序设计容易,占用计算机内存较少等优点,但需要较好的加速因子(即最佳松驰因子).下面我们首先说说松驰一词的含意,再利用它来解释雅可比迭代法与高斯―塞德尔迭代法,最后给出逐次超松驰迭代法的推算公式和收敛性条件.-Successive over relaxation iteration method (Successive Over Relaxation Me thod, called SOR method) is the Gauss- Seidel method for an accelerated method is solution of large sparse matrix equations, one effective method, it has a simple formula, programming easy, take up less computer memory, etc., but the need for better acceleration factor (that is, the best relaxation factor). Let us first talk about the meaning of the term relaxation, and then use it to explain the Jacobi s iterative method and the Gauss- Seidel iterative method, and finally gives successive over relaxation iterative method of projection formula and the convergence condition.