资源列表
lapack-3.8.0.tar
- lapack优秀的线性处理库 可以处理线性问题和矩阵(LAPACK is a freely-available software package. It can be included in commerc ial 37 software packages (and has been).)
download_tweets
- 能够进行词性标注、词典匹配、否定词匹配，能够进行CRF之前的模型准备工作(Can do part of speech tagging, dictionary matching, negative word matching)
rinex
- 读取RENIX文件（GPS导航电文），进行卫星轨道坐标解算，并将结果生成TXT文件输出。(The program can read standard RENIX file(Satellite navigation message file of GPS). and calculate the cordinate of Satellite (X,Y,Z). it will give an TXT format result.)
fortran
- 4种计算积分的方法，并对精度进行比较，梯形法则，simpson法则(4 methods for calculating integral)
triangulation_triangle_neighbors
- TRIANGULATION FORTRAN NEIGHBOURS
CH1
- 可以快速的进行数学计算，可以很好的解决数学中遇到的各种微分积分求解的问题(The mathematical calculation can be carried out quickly, and it can solve the problem of differential integral in mathematics.)
ADRC
- intressting pdf about active disturbance rejection control
MapleToolbox2016.0WindowsX64Installer
- 通过Maple产品可以在单一的环境中完成多领域物理系统建模和仿真、符号计算、数值计算、程序设计、技术文件、报告演示、算法开发、外部程序连接等功能。 大量易学易用的工具和特征，提供“数学版office”工作环境，用户即使没有任何语法知识也可以完成大量数学问题的计算，显著地缩短学习时间。(Through Maple products, we can accomplish multi domain physical system modeling and simulation, symbolic co
单纯形法Matlab程序-2016-11-17
- 一般线性规划问题具有线性方程组的变量数大于方程个数，这时会有不定的解。当决策变量个数n和约束条件个数m较大时，单纯形法是求解线性规划问题的通用方法。 从线性方程组找出一个个的单纯形，每一个单纯形可以求得一组解，然后再判断该解使目标函数值是增大还是变小了，决定下一步选择的单纯形。通过优化迭代，直到目标函数实现最大或最小值(In general linear programming problems, the number of variables with linear equations is
eigen-eigen-5a0156e40feb
- C++矩阵工具库，可以执行矩阵的加减乘除、矩阵的各种分解，矩阵的特征值和特征向量，速度适中(C++ matrix tool library, can perform various matrix decomposition, add, subtract, multiply and divide matrix, eigenvalue and eigenvector, moderate speed)
bayes_joint variable _matlab
- 贝叶斯分类器-联合变量_C++，只需更改样本文件名即可测试。(The Bias classifier - the joint variable _C++, can be tested only by changing the name of the sample file.)
bayes_independent variable _matlab
- 贝叶斯分类器-独立变量_matlab，只需更改样本文件名即可测试。(Bias classifier - independent variable _matlab, can be tested only by changing the name of the sample file.)