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找到约 10,000 项符合「MATLAB」的源代码
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m traprl.m
function s=traprl(f,a,b,M)
%Input - f is the integrand
% - a and b are upper and lower limits of integration
% - M is the number of subintervals
%Output - s is the t
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m exn565.m
%《MATLAB及其在理工课程中的应用指南》(十一五规划版)第五章例5-6-5程序
% 蒙特卡罗方法求圆周率
% 西安电子科技大学出版社出版 陈怀琛编著 2007年7月
%
N=input('取的总点数= ');
x=2*(rand(1,N)-0.5); % 生成均值为零，数值在-1~1均匀分布的随机数
y=2*(rand(1,N)-0.5); % 同上
k=0;
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m readme.m
% README file for the DIPUM Toolbox.
%
% These MATLAB functions were created for the book Digital Image
% Processing Using MATLAB (DIPUM), by R.C. Gonzalez, R.E. Woods, and
% S.L. Eddins, Prentice
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txt 0_read_me_first.txt
README file for the DIPUM Toolbox.
These MATLAB functions were created for the book Digital Image
Processing Using MATLAB (DIPUM), by R.C. Gonzalez, R.E. Woods, and
S.L. Eddins, Prentice Hall, 20
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bat li3_5_sfun.bat
"d:\matlab6p1\sys\lcc\bin\lccmake" -f li3_5_sfun.lmk
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bat example5_sfun.bat
"d:\matlab6p1\sys\lcc\bin\lccmake" -f example5_sfun.lmk
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m randn.m
%R=randn(m,n) 生成标准正态分布的m行n列随机矩阵
%RANDN Normally distributed random numbers.
% RANDN(N) is an N-by-N matrix with random entries, chosen from
% a normal distribution with mean zero and variance
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m randn.m
%R=randn(m,n) 生成标准正态分布的m行n列随机矩阵
%RANDN Normally distributed random numbers.
% RANDN(N) is an N-by-N matrix with random entries, chosen from
% a normal distribution with mean zero and variance
www.eeworm.com/read/136408/5872285
bat li3_5_sfun.bat
"d:\matlab6p1\sys\lcc\bin\lccmake" -f li3_5_sfun.lmk