资源列表
jacobi
- 应用C++编写的数值分析中的 雅克布迭代算法，是数值分析课程的基本算法迭代算法，是数值分析课程的基本算法-jacobi迭代算法是数值分析中的重要算法，主元消去法解方程组的有效方法
2d_ac_modeling
- Written by fortran 2D modeling implementation procedures applicable to beginners and programmers have a certain base
SVD
- 奇异值分解法——用于求解病态的方程，广泛用于数值计算。-This code is used for solving the ill equation
Mycomputer
- 一个小巧的计算器,适合刚接触java的新人学习,各种功能都比较完善-A small calculator, suitable for newcomers to learn new to java, various functions are more perfect
sushu
- 找到从一到小于N的素数,把它们输出到一个指定的文件夹里面-From one to find prime numbers less than N, and outputs them to a designated folder inside
yanghuisanjiao
- 杨辉三角的java版本,最大行数由用户给定,按照格式排列下来,PS:控制台显示-Pascal' s Triangle java version, the maximum number of lines given by the user, are arranged according to the format down, PS: Console Display
src
- k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-k-means algorithm accepts parameters k n and the previously input data is divided into k-clustering objects in order to make
src
- LinearClassifier,线性分类器进行分类，通过制作一个基于特征的线性组合的价值分类决策。对象的特征也被称为特征值，通常是一个向量提出的机器称为一个特征向量。-LinearClassifier, linear classifier for classification, through the production of a feature-based value of a linear combination of classification decisions. Characte
src
- MLP数据挖掘里面的分类算法 -MLP data mining classification algorithm inside the MLP data mining classification algorithm inside
2013_05_06
- zero-forcing beamforming with semi-orthogonal user selection
huffmancoding-and-lossless-loss-data-document
- these files are huffmann coding algorithm and loss and lossless data documents
setReferee
- 获取会员信息，激活处理, 其中包括对输入数据的限制，激活数据的查询等，代码精简功能强大，能够批量处理会员注册信息，希望能够给各位以参考，-Obtain membership information, activation process, which includes restrictions on the input data, activation data query, streamlined code, powerful, able to batch processing members