# Hur normaliserar jag en vektor effektivt i MATLAB? Någon relaterad

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It is preferable to use rng (x) instead. GNU Octave on the other hand has a less quirky take on the whole thing. Using rand ('seed',x) defaults to older generators, while rand ('state',x) resets the seed, but still uses a version of Mersenne Twister. Set the random number generator to the default seed (0) and algorithm (Mersenne Twister), then save the generator settings.

You can repeat results from any point in the random number sequence at which you saved the generator settings. For example How to set a global random seed in a GUI?. Learn more about random number generator, seed, rng, gui, global MATLAB How to set the same initial seed random numbers in Matlab? Tag: matlab , random I have a matlab code which has a bunch of random numbers such as: unifrnd(0,1) , normrnd(mu,sigma) , this sort of functions get repeated over and over again.

Sign in to answer this question. Better not set a seed at all. MATLAB always starts with the same sequence, but if you run your two computations in the same MATLAB session, the second one will use a random number sequence starting off where the first one stopped, and so will guaranteed to be different and independent.

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example: ˛ seed(1492); Now generate 5 random numbers from, say, a uniform distribution ˛ uniform(5,0,1) ans: 0.2835 0.0679 0.3478 0.7325 0.7162 Using a di erent seed will start the random sequence in a di erent place. ˛ seed(1776) matlab中有类似R的set.seed(100)，功能吗？,matlab中有类似R的set.seed(100)，功能吗？ 就是计算前设定随即种子，以便别人能重复出你的数据，比如我们做10倍交叉验证，如果R设定随即种子后，别人也能重复出我们的结果，只要种子一致？ This MATLAB function sets the starting point, or seed, of the random number generator used in GPU calculations, so that rand, randi, and randn produce predictable sequences of numbers. seed是适合rand使用的。seed是产生随机数的一个种子，如果不设置seed那么，rand每次产生的随机数都是一样的，因为种子是一样的，所以要想产生不一样的随机数就要设置seed，种子不一样结果也不一样.如，rand('seed',10) ，rand('seed',1) How can I pass in an rng(seed) into a call to Learn more about rng Simulink, SimEvents mseed-matlab.

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seed是适合rand使用的。seed是产生随机数的一个种子，如果不设置seed那么，rand每次产生的随机数都是一样的，因为种子是一样的，所以要想产生不一样的随机数就要设置seed，种子不一样结果也不一样.如，rand('seed',10) ，rand('seed',1) How can I pass in an rng(seed) into a call to Learn more about rng Simulink, SimEvents mseed-matlab. The Standard for the Exchange of Earthquake Data (SEED) is an international standard format for the exchange of digital seismological data. SEED was designed for use by the earthquake research community, primarily for the exchange between institutions of unprocessed earth motion data. reset(s) resets the generator for the random stream s to the initial internal state corresponding to its seed.This is similar to clearing s and recreating it using RandStream, except that reset does not set the stream's NormalTransform, Antithetic, and FullPrecision properties to their original values. 如何用matlab生成随机数函数1. MATLAB 函数 rand产生在区间 (0, 1)的均匀随机数，它是平均分布在 (0,1)之间。一个称为seed的值则是用来控制产生随机数的次数。均匀随机数函数的语法为rand(n),rand(m,n)，其结果分别产生一矩阵含n×n个随机数和一矩阵含m×n的随机数。 One of the main problems with creating a C++ port was coding how to do seed placement.

The same page that James linked to lists this as the recommended alternative to various old methods (see the middle cell of the right column of the table). How do I set a seed to generate different random Learn more about seed, initial condition MATLAB rand ('seed',k); a = rand (5,1), end. you will get the same 3 vectors for the variable, a. In (2), rand (k) is producing a kxk matrix of uniform random numbers, then producing a 1x5 vector of uniform random numbers. So I'm not sure what the point of (2) is.
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y=randsample(idsample,size(idsample,1),true); How can I set a seed in "randsample" function? Couldn't find the answer in help. I'm using Matlab7.8.0(R2009a), The key takeaway is that one should not use rand ('seed',x) or rand ('state',x) to reset the random number seed, since Matlab defaults to an inferior generator used in older versions. It is preferable to use rng (x) instead. GNU Octave on the other hand has a less quirky take on the whole thing.

Then, you can use iterSeed with rng() in any of the blocks within your mdl to get different set of random numbers for each iteration. rng(seed) 指定 MATLAB ® 随机数生成器的种子。例如，rng(1) 使用种子 1 初始化梅森旋转生成器。 rng 函数控制 全局流 ，这决定 rand、randi、randn 和 randperm 函数如何产生一系列随机数。 Specify the generator seed as an initialization step when creating a stream at MATLAB startup or before running a simulation.
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The time function from the C standard library can be called to set the unique seed by using "coder.cinclude" and "coder.ceval" as below: This MATLAB function sets the starting point, or seed, of the random number generator used in GPU calculations, so that rand, randi, and randn produce predictable sequences of numbers. This MATLAB function puts the settings of the random number generator used in tall array calculations to their default values. rng(seed) specifies the seed for the MATLAB ® random number generator.