资源列表
topbinfinder
- 简单而清晰的使用二分法求最高位,比较初级但是比较实用的算法-simple and clear dichotomy for maximum use of spaces, but more junior comparison practical algorithm
fghfgh
- 一、 实验目的:通过该实验,掌握通过计算机实验信息量和信道容量的计算方法 二、 实验要求:对一个离散的无记忆信源,给定信源的输入概率分布,给定一个信道特性,计算各种信息量和熵,并计算信道容量。 三、 实验原理: -an experimental purposes : the adoption of the experiment, master of information through computer experiments channel capacity and the me
worker123654
- (1)设计一个的菜单将在实现的功能显示出来,并有选择提示 (2)教师的基本信息包括编号、职工分类(\"行政人员\",\"教师\",\"一般员工\",\"退休人员\",\"返聘人员\",\"临时工\")、性别、年龄,职务(\"无\",\"科级\",\"处级\",\"地级\") 、职称(\"无\",\"初级\",\"中级\",\"高级\") 、政治面貌(\"群众\",\"中共党员\",\"民主党派\")、学历(\"中专\",\"大专\",\"大学\",\"硕士\",\"博士\") (3)信息
lordman_ICA_codes
- 关于人脸识别中的ICA算法,用MATLAB实现-on the ICA face recognition algorithm in MATLAB
DEFINEV
- %DEFINEV Scaling vector and derivative % % [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the % bounds corresponding to the sign of the gradient g, where % l is the vector of lower bounds, u is the vector of upper % bounds. Vector dv is
COMPDIR
- % COMPDIR Computes a search direction in a subspace defined by Z. % Helper function for NLCONST. % Returns Newton direction if possible. % Returns random direction if gradient is small. % Otherwise, returns steepest descent direction. % I
checkbounds
- %CHECKBOUNDS Move the initial point within the (valid) bounds. % [X,LB,UB,X,FLAG] = CHECKBOUNDS(X0,LB,UB,nvars) % checks that the upper and lower % bounds are valid (LB <= UB) and the same length as X (pad with -inf/inf % if necessary) wa
BIQPBOX
- %BIQPBOX Bisection reflective line search for sqpbox % [nx,nsig,alpha] = BIQPBOX(s,c,strg,x,y,sigma,l,u,... % oval,po,normg,DS,mtxmpy,data,H) % returns the new feasible point nx, the corresponding sign vector nsig, % and the step size of the
numericalalgorithmMATLAB
- 为配套王能超版本数值分析简明教程编写,方便学生教师演示!-for supporting Wang Chao version of the Concise Guide to Numerical Analysis prepared to facilitate students to teachers demo!
suoha
- 用matlab 代码 编写的梭哈游戏 比较经典-using Matlab code prepared by the more classic games Xunhe
GM(1_1)
- GM(1,1)模型1-4 1:GM(1,1)模拟模型,在matlab中的输入方法为gm1(x),x指要模拟的序列。 2:GM(1,1)预测模型,在matlab中的输入方法为gm2(x,K),x指要模拟的序列,K指从以后序列第一个数据算起的第k个待预测数据。 3:GM(1,1)群模拟模型,在matlab中的输入方法为gm3(x),x指要模拟的序列。 4:GM(1,1)群预测模型,在matlab中的输入方法为gm4(x,K),x指要模拟的序列,K指从以后序列第一个数据算起的第k个待预
fuzzy-control-on-matlab
- 该源码是关于模糊控制算法的MATLAB实现的,内容包括被控系统模糊建模,输入变量转换到论域,模糊规则库的建立等。-the source of fuzzy control algorithm in MATLAB, including Fuzzy charged modeling, conversion of input variables domain, the fuzzy rules for the establishment of such.