用初等相似变换将实矩阵约化为上H阵，即Hessen berg矩阵

程序：全主元Gauss消去法 过程：gaussq(aa,bb,xx,n,sgn) 作用：aa为系数矩阵，bb为右端向量，xx为解向量，n为方程阶数，sgn为标识符，1表示计算正常进行，0表示计算失败 方程形式为：aa(n,n)*x(n)=bb(n)-Procedure: All the main element Gauss elimination process: gaussq (aa, bb, xx, n, sgn) Role: aa for the coefficient matrix, bb for the right-hand side vector, xx for the solution vector, n the order of the equation, sgn as identifiers, 1 indicates the calculation as normal, 0 indicates failure of the calculation equation of the form: aa (n, n)* x (n) = bb (n)

MD5 哈希计算器  VB6 （模块）。 你可以将模块添加到您的项目。

Kriging 内插算法 通过已知点的测量值来内插获取未知点的预测-Kriging algorithym

0 / 1背包问题是一个N P-复杂问题，为了解决该问题，，将用回溯算法解决该问题。既然想选择一个对象的子集，将它们装入背包，以便获得的收益最大，则解空间应组织成子集树的形状（如图1 6 - 2所示）。该回溯算法与4 . 2节的装载问题很类似。首先形成一个递归算法，去找到可获得的最大收益。然后，对该算法加以改进，形成代码。改进后的代码可找到获得最大收益时包含在背包中的对象的集合。-0/1 knapsack problem is a P-complex issues, in order to solve the problem, and will be used backtracking algorithm to solve the problem. As to the choice of a subset of object, they will load a backpack, in order to obtain the greatest profits, the solution should be organized into space subset of the shape of the tree (Figure 1 6-2 below). The backtracking algorithms and 4. Two loading problem is very similar. Forming a recursive algorithm to get the maximum benefit available. Then, this algorithm is modified to form code. Improved code can be found at the maximum benefits included in the backpack of a collection of objects.

一个集交互式和命令式于一体的程序，采用最小二乘法进行曲线的拟合-A set of interactive and command-style in one program, using least-squares curve fitting method

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用语计算光子晶体的透射率和反射率以及能带结构-Term calculation of photonic crystal transmittance and reflectance as well as the energy band structure

这是一篇很好的代码，希望可以帮助他人，而且我也收益颇多，所以我把这代码上传上来，希望可以解决更多人的问题

svm（支持向量机）的演示程序，是可执行程序，非控制台程序，可实现分类并图形化显示。-svm (support vector machine) demonstration program, an executable program, non-console programs for classification and graphical display.

农夫过河问题的广度优先搜索算法的PASCAL程序-farmer across the river in breadth- first search algorithm procedures PASCAL