赫夫曼编码树的应用

This program generates interpolation function for input data in three methods: 1-Newton forward method 2-Newton backward method 3-lagrange method

EFG是无网格算法里面的代表性算法，1994年由Ted提出，此程序为matlab写的EFG的程序，一个平面2D的问题，无网格学习的可以好好看一下

c语言基本算法的源码```````````比较基本```好吧``我是新手什么都不懂```先要点积分看看其他源码是怎么写的

应用背景基于手机的考勤跟踪系统关键技术

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二维数组的冒泡排序-Bubble sort of Two-Dimensional Arrays

正在学数字信号处理,感觉上学期信号与系统学得不扎实，因为当时只是死记公式，这学期数信老师提倡动手实践，觉得自己在编程中对公式理解得更加深刻了。 以下是我写的FFT，欢迎指教。-is studying digital signal processing, signal feel semester with enough solid school system, because only memorizing formulas, a few letters this semester to promote hands-teachers find themselves in the right programming formula to understand more deeply. The following is what I wrote FFT welcome to enlighten.

ti-公司的血氧饱和度解决方案，测试可行，非常好的资料                                             

四十三种差分格式的fortran源代码，网上下载来的，呵呵，好东西，推荐。-43 species difference format FORTRAN source code to the Internet to download, what good things, recommended.

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.