利用样条插值求取一组数据点在各点的导数 (只提供函数)

A implementation of the discrete Fourier transform in visual basic classic.

此为51单片机的点阵的c代码，实现基本的点阵功能，适合初学者。在看此程序前，你最基本要会c语言，虽然此代码不难，但比必须懂c语言。想学习单片机的人，可以下载来看看，因为这个适合入门

"伊辛模型是一个铁磁体的简化版本 - 其中所述材料的结构包括每晶格位置的单个偶极子的，是一个简单的示范精美的统计力学和相变的影响 - 以及一个作为一个奇妙例子蒙特卡罗模拟的能力。“。这个程序做数值模拟在python这个模型中，打开该文件，并读取的注释 （法国） 但所有这解释，在 python 的数值模拟。

在无线传感器节约能源中扮演一个关键因为这种网络为了放在的网络敌对和非可访问的地区。虽然电池驱动森-黄沙将耗尽电池，或早或晚的重新使用可再生能源如太阳能发电或万有引力可能传感器网络的生存期延长。我们建议利用无线传感器网络中的太阳能发电，并延长浸出知名的基于集群的协议，传感器网-作品都能成为太阳能意识。提出了的模拟结果表明，制作浸出太阳能意识到有力地延长了使用寿命的传感器网络

本程序为生成给定分布律的随机数 模拟规划 也是图论中经典得程序 -This procedure for generating a given distribution law of random numbers simulation planning is a classic graph theory procedures

资源描述AppWizard has created this MRF_Based DLL for you. This file contains a summary of what you will find in each of the files that  make up your MRF_Based application.

this progam calculates the optimum laser powers at different rod lengths-this progam calculates the optimum laser p owers at different rod lengths

此文件包是对著名的adaboost算法的一个matlab实现，通过对threshold的加强，adaboost可以获得更好的分类效果。文件包包括以下文件： 1. ADABOOST_te.m 2. ADABOOST_tr.m 3. demo.m 4. likelihood2class.m 5. threshold_te.m 6. threshold_tr.m

平均因子分解法，适用于正定矩阵First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X=U U, where U is the square root matrix of X, and satisfies: (1) U U = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is "positive definite" which guarantees the existence of such kind of decomposition. -Average factor decomposition method applied to positive definite matrix First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X = UU, where U is the square root matrix of X, and satisfies: (1) UU = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is positive

匹配滤波的MATLAB实现，用于随机信号处理的算法演示！-matched filtering of MATLAB for random signal processing algorithm demo!