随机图生成工具

资源描述本文在比较研究已有室内定位方法的基础上，采用基于接收到信号强度 值(Received Signal Strength Indicator，RSSI)和贝叶斯算法对室内的人员或物 体进行位置估计及跟踪。并对贝叶斯算法进行了有效改进，改进算法具有较 高的定位精度，基本达到了成本与精度的平衡。并通过大量的实验对影响定 位效果的各种因素进行了全面测试分析。 

拉格朗日插值误差计算-Lagrange interpolation error calculation

详细表述了分数阶傅立叶变换的离散实现，将现有的算法进行比较。-In this note we make a critical comparison of some matlab programs for the digital computation of the fractional Fourier transform that are freely available and we describe our own implementation that lters the best out of the existing ones. Two types of transforms are considered: First the fast approximate fractional Fourier transform algorithm for which two algorithms are available. The method is described in H.M. Ozaktas, M.A. Kutay, and G. Bozdagi. Digital computation of the fractional Fourier transform. IEEE Trans. Signal Process., 44:2141{2150, 1996. There are two implementations: one is written by A.M. Kutay the other is part of package written by J. O Neill. Secondly the discrete fractional Fourier transform algorithm described in the master thesis C . Candan. The discrete fractional Fourier transform, Bilkent Univ., 1998 and an algorithm described by S.C. Pei, M.H. Yeh, and C.C Tseng: Digital fractional Fourier transform base

多维傅里叶变换，二维DFT快速算法，共分五部--三：二维实序2D-DFT列行列算法-Multi-dimensional Fourier transform, fast algorithm for two-dimensional DFT is divided into 5- 3: two-dimensional real column ordinal ranks of 2D-DFT algorithm for

数值分析雅可比迭代法-numerical analysis Jacobi iterative method

人工股市（Artificial Stock Market，简称ASM）是模拟股市运作的一个程序-artificial stock market (Artificial Stock Market, or ASM) is a simulation of the operation of a stock market procedures

上面的矩阵算法库的Borland编译文件- Above matrix algorithm storehouse Borland translation document

VC实现的MD5加密算法源码，包括完整的VC代码，可用VC6打开，编译调试，还包括测试数据和测试用例，可直接拿来使用，有很高的利用价值。也是从其他地方下载的，忘记是哪里下载的了。

特征值和特征向量的计算,每种算法都用c++以函数形式实现- The characteristic value and the characteristic vector computation, each algorithm all uses c to realize by the function form

这是为解决 m-着色问题编写的算法。它基于回溯。对于等级是相对较低。但保证的正确性。M-着色问题是其 NP 完备而闻名，没有多项式时间算法都没有被发现。这个问题可以应用于许多实际问题，例如调度。