资源列表
k-c
- Numerical Algorithm / Artificial Intelligence numerical algorithms / numerical algorithm of artificial intelligence / artificial intelligence-Numerical Algorithm/Artificial Intelligence numerical algorithms/numerical algorithm of artificial intellige
followtop
- Follow me超级搜索引擎V6.2(完美版)绝对是目前全国功能最优秀的超级搜索引擎之一 全国已超过1000个网站和超过100家网吧正在使用本程序 (6.3和6.2功能上变化不大,但修复了很多显示上的错误,而且优化了程序,让程序速度更快.) 主要功能: 1.本程序整合google、百度、搜狗、中搜、搜搜等等近百个搜索引擎为一体. 2.可以搜索网页、音乐、影视、软件、图片、小说、新闻、论坛、游戏、Flash、地图、购物、商业特色搜索等10多个搜索主题. 3.占
mddm
- MDDM是一种多类标分类降维算法，使用成对约束对正类和负类进行迭代- is a novel algorithm to deal with the multilabel dimensionality reduction.
cgm
- 共轭梯度解决多维的非线性问题，有着很好的数值效果-conjugate gradiant
fuzzysort
- 模糊排序的java实现，CLRS的练习题 -Fuzzy sort java implementation, CLRS
DifferentialEquationsInitialValueProblem
- 求解常微分方程的初值问题的常用的matlab程序-Ordinary Differential Equations Initial Value Problem
fermiumfunctionfitting
- 费米函数的拟合算法，根据所给的点来确定费米方程的个参数情况，图像处理时能给出相应的拟合图形的参数-Fermi function fitting algorithm, according to the given point to determine the Fermi equation parameters, the image processing can give the corresponding fitting parameters for graphics
KBFSetup
- 卡尔曼滤波设计器描述 可安装的电子书，网页文件，全英文。 -Kalman Filter Designer can be installed to describe the e-books, web documents, all in English.
SimplicityAlgorithm
- 求多维函数极值的一种算法，由Nelder和Mead提出，又叫单纯形算法，但和线性规划中的单纯形算法是不同的，由于未利用任何求导运算，算法比较简单，但收敛速度较慢，适合变元数不是很多的方程求极值-Multi-dimensional function extremum seeking an algorithm proposed by Nelder and Mead, also called the simplex algorithm, but in the linear programming si
PRG_english
- The 2D CFD Program NaSt2D The program is a 2D solver for the incompressible, transient Navier-Stokes equations including the temperature equation and free boundary problems. It uses finite differences for discretization on a structured equidist
NormanNise
- this are the example codes from control system engineering from NORMAN NISE
cavity
- this program solves the steady-state navier-stokes eqn in 2d for the flow in a driven cavity problem. the function solved for is the streamfunction. the velocity may be obtained by differentiating the streamfunction.