运筹学很有用的程序，线性规划课本里的习题答案，求解线性规划问题...

基本算法为：先将1填入第一行中间位置；再依次将2-n方按如下规律填写：//1，填入上个数上一行的右边位置，如果没有上一行则转到最后一行，如果右边没有方格//则转到最左边的方格。2，如果要填的位置上已经有数，则转填到它上一个数的下边方格//3，对于第一行的最后一个数的下一个数应填在该数下边的空格处-basic algorithm : a first Enter the middle of the first line; Another will be followed by 2-n-law filled out as follows :// 1, the number entered on the right side on his position, if not in his will to the last line, if not right box// then transferred to the most left while the box. 2, to fill the position of several, in turn, to fill it on a number of subordinate box// 3, the first trip to the final a few under a few should fill in the blank space of a few top candidate Department

基于混合基算法的快速傅立叶变换和反变换在VDSL2中的应用与实现-Mixed-radix FFT-based fast Fourier transform and inverse transform in the application and implementation of VDSL2

资源描述This paper presents a lowcost indoor location identification and material tracking methodology for construction projects using Ultra High Frequency (UHF) passive Radio Frequency Identification (RFID) technology. Onsite location aware information is an emerging area that focuses on automating delivery of spatial information pertinent to location of materials, workforce, and equipment. This spatial information can be used to derive knowledge about construction project status. A two-step algorithm is presented to automate the process of location estimation and material tracking in near-real-time. In this methodology, a number of passive RFID tags are distributed onsite where work is progressing, and a mobile RFID reader is carried by a worker onsite. Each passive RFID tag is deployed as a reference point with a known location (landmark) within a predefined zone. Reference tags of known locations are used to d

非线性方程类，封装了有关解非线性方程的算法-nonlinear equations, the solution package, the algorithm of nonlinear equations

书是针对工程上常用的行之有效的算法而编写的C语言函数程序集，在第一版的基础上作了修改和扩充。书中包括了近几年出现的许多新算法。全书分为数值计算与非数值计算两部分。其中数值计算部分的内容包括：线性代数方程组的求解、矩阵运算、矩阵特征值与特征向量的计算、非线性方程与方程组的求解、插值、数值积分、常微分方程（组）的求解、拟合与逼近、数据处理与回归分析、极值问题、数学变换与滤波、特殊函数、随机数的产生、多项式与连分式函数的计算、复数运算；非数值计算部分的内容包括：排序、查找、图形模式下读写屏幕象点、基本图形操作、汉字操作等。-book is widely used in engineering at the effective preparation of the algorithm and C language function suite, on the basis of the first edition was revised and expanded. The book includes the past few years, many of the new algorithm. Topics are divided into the numerical and non- numerical calculation of two parts. These numerical part of the contents include : linear algebraic equations by solving the matrix computation, Matrix eigenvalues and eigenvectors of computing, nonlinear equations and solve equations, interpolation, numerical integration, ordinary differential equations (Group I) solution, fitting and approximation, data processing and back In analysis, optimization, mathematical transformation and filtering, specia

数据挖掘中de一个算法 hamster的实例，在c下实现的。简单易懂。-de data mining algorithms hamster an example of the c achieved under. Simple and understandable.

C4.5是一系列用在机器学习和数据挖掘的分类问题中的算法。它的目标是监督学习：给定一个数据集，其中的每一个元组都能用一组属性值来描述，每一个元组属于一个互斥的类别中的某一类。C4.5的目标是通过学习，找到一个从属性值到类别的映射关系，并且这个映射能用于对新的类别未知的实体进行分类。 C4.5由J.Ross Quinlan在ID3的基础上提出的。ID3算法用来构造决策树。决策树是一种类似流程图的树结构，其中每个内部节点（非树叶节点）表示在一个属性上的测试，每个分枝代表一个测试输出，而每个树叶节点存放一个类标号。一旦建立好了决策树，对于一个未给定类标号的元组，跟踪一条有根节点到叶节点的路径，该叶节点就存放着该元组的预测。决策树的优势在于不需要任何领域知识或参数设置，适合于探测性的知识发现。 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

BFS 算法的实现在 c / c + +。我t 也打印派生的最短路径的路径

通过基于锁的并发控制系统的模拟实现，掌握两段加锁协议和简单并发控制系统的构建；理解事务并发访问造成的不可串行化和如何保证可串行化的技术，使用java语言模拟实现数据库的两段锁协议的实现过程

工程应用中，往往会涉及到简单的排序算法，尤其是在采样过程中，一般都会先采集一定点的数据，然后进行排序，最终取中间的数据进行平均。