📄 simexp.m
字号:
function [sample] = simexp(M, N, lambda)
% SIMEXP random numbers from exponential distribution
% pdf f(x)=lambda exp(-lambda*x), x>0
%
% [sample] = simexp(M, N, lambda)
%
% Inputs:
% M - number of rows in the output matrix
% N - number of columns in the output matrix
% lambda - parameter of the distribution
%
% Outputs:
% sample - a matrix of random numbers
%
% See also SIMBINOM, SIMDISCR, SIMGEOM, SIMPARETO
% Authors: R.Gaigalas, I.Kaj
% v1.3 Created 04-Oct-02
% Modified 02-Dec-05 to generate a matrix
% generate a sample of U(0, 1) and apply the inverse cgf
sample = -log(rand(M, N))./lambda;
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -