matlab指定区间随机数产生

最新推荐文章于 2025-06-22 12:06:36 发布

Richard_Yang2016

最新推荐文章于 2025-06-22 12:06:36 发布

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分类专栏： matlab学习文章标签： matlab

本文链接：https://blog.youkuaiyun.com/Richard_Yang2016/article/details/78257533

本文介绍了如何在MATLAB中使用rand和randi函数生成指定区间的随机数。rand函数用于产生[0, 1)之间的浮点数，通过乘以范围差加区间起点可得到指定区间；randi函数则生成指定范围内的整数，包括边界值。同时，文章展示了如何控制随机数生成的种子，确保结果可复现。" 103027160,9065501,CIFS文件系统与Samba服务器配置详解,"['Linux', '网络服务', '文件共享', '系统管理', 'SMB']

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1. rand 函数。

rand Uniformly distributed pseudorandom numbers.
R = rand(N) returns an N-by-N matrix containing pseudorandom values drawn
from the standard uniform distribution on the open interval(0,1). rand(M,N)
or rand([M,N]) returns an M-by-N matrix. rand(M,N,P,...) or
rand([M,N,P,...]) returns an M-by-N-by-P-by-... array. rand returns a
scalar. rand(SIZE(A)) returns an array the same size as A.

Note: The size inputs M, N, P, ... should be nonnegative integers.
Negative integers are treated as 0.

R = rand(..., 'double') or R = rand(..., 'single') returns an array of
uniform values of the specified class.

The sequence of numbers produced by rand is determined by the settings of
the uniform random number generator that underlies rand, RANDI, and RANDN.
Control that shared random number generator using RNG.

Examples:

Example 1: Generate values from the uniform distribution on the
interval [a, b].
r = a + (b-a).*rand(100,1);

Example 2: Use the RANDI function, instead of rand, to generate
integer values from the uniform distribution on the se