random

matlab: different instances start with the same random seed

萝らか妹 提交于 2021-01-29 08:54:34
问题 Using MATLAB and trying to use a computer cluster to perform 100 repetitions of certain calculation with inherent stochastic nature. Each of those repetitions should include the same code, but with different random seed. It seems that rng('shuffle') recommended by documentation may not achieve this if all jobs start running at the same time (on different machines) as the seed used is an integer which seems to be initialized from time (it is monotonously increasing, seems like precision of

what is rand algorithim depending on srand and seed?

陌路散爱 提交于 2021-01-29 08:50:39
问题 When I running this code while ... srand (1); printf ("Again the first number: %d\n", rand()%100); on 2 PCs I get different results. but in each PC I get always the same random list. For ex. in PC 1 I always get 83,86,77,15,93,35 and in PC2 I always get F, G ,H , I ,J . I want to know what is the algorithim? If I know the first random , is there any way to know the second random in same PC? . Second random is depending on seed or only on the last random? I not to put srand(time(0)); to get a

randomize a list of numbers atomaticaly without duplicates in excel

眉间皱痕 提交于 2021-01-29 08:20:37
问题 Hi I have a list of facilities ID starting from cell E8 and the number of facilities on cell E2. I want to get random Facility IDs from column E8 and transfer to column F (Facility ID PICKED) starting from cell F8. I want this to be automatically if possible, so everytime there is a new desired number(in this case 61) then the random facilities get picked automatically. I was using a formula but then I realized it was bringing me duplicate IDs. I only one each to be picked once. Please any

kotlin Get random string from array

断了今生、忘了曾经 提交于 2021-01-29 06:00:23
问题 New to kotlin and quite a few questions and answers, mostly in Java. After following the documentation and verifying against numerous SO questions/answers Android Studio is complaining about the following in a function. The function is fun getRandomQuote() { val randomValue = Random.nextInt(quotes.size) //return quotes[randomValue] return quotes.get(randomValue) } quotes is an arrayOf(strings) val quotes = arrayOf("Alert today – Alive tomorrow.",...) It says for quotes.get(randomValue) That

Haskell: Problem Importing System.Random Windows

北城余情 提交于 2021-01-29 05:58:32
问题 I've been trying use the System.Random library but keep getting the error Could not find module `System.Random' Use -v (or `:set -v` in ghci) to see a list of the files searched for. import System.Random I've installed random with cabal (cabal install --lib random) and in powershell it says that everything is up to date. I've tried installing stack to fix the problem but have come across a lot of problems doing that. 来源: https://stackoverflow.com/questions/65250834/haskell-problem-importing

Different sample results using set.seed command?

≡放荡痞女 提交于 2021-01-29 05:40:27
问题 I want to use the sample function after setting set.seed with a fixed number. Unfortunately I obtain different results from a edx website. I'm wondering why I get different results. In the website they obtain 0.2706222. On my computer I obtain 0.3293778 I realized that the problem came from my sample function which do not returns me the same sample. Setting set.seed(1) and using sample(seq(1:5000), 3). My computer returns 1017 4775 2177 whereas it "should be" 1328 1861 2864 library(downloader

How to generate random data off of existing sample data?

假如想象 提交于 2021-01-29 03:04:32
问题 I have a set of existing data, lets say: sample_data = [2,2,2,2,2,2,3,3,3,3,4,4,4,4,4] off of this sample data, i would like to generate a random set of data of a certain length. This should not be off of the sample data, but off of a distribution that was generated off of the sample data. expected output if i wanted 5 random points: output_data = [3.4,2.3,1.5,5.2,1.3] 回答1: Use random.sample : import random sample_data = [2,2,2,2,2,2,3,3,3,3,4,4,4,4,4] # if you want to select 5 samples from

Vectorized sampling of multiple binomial random variables

大城市里の小女人 提交于 2021-01-28 23:36:06
问题 I would like to sample a few hundred binomially distributed random variables, each with a different n and p (using the argument names as defined in the numpy.random.binomial docs). I'll be doing this repeatedly, so I'd like to vectorize the code if possible. Here's an example: import numpy as np # Made up parameters N_random_variables = 500 n_vals = np.random.random_integers(100, 200, N_random_variables) p_vals = np.random.random_sample(N_random_variables) # Can this portion be vectorized?

Looping an “If Else Statement” java

我的未来我决定 提交于 2021-01-28 22:44:54
问题 I am attempting to make a simple program in java using Scanner that will allow the user to shoot craps (play dice). 1.This code asks the user to enter how much money they have. The code will ask user to input a bet. Using a random number generator, it will inform the user what they rolled and inform the user how much money they've won/lost. I have been able to successfully tell the computer to inform the user when they have won or lost, when they roll 2,3,7,11, or 12. I am not sure how to

How does bias manifest in bounded random number generation

江枫思渺然 提交于 2021-01-28 19:42:08
问题 I am trying to digest the following post https://www.pcg-random.org/posts/bounded-rands.html on non biased, efficient random number generation. Here is an excerpt describing the classical, modulo approach. uint32_t bounded_rand(rng_t& rng, uint32_t range) { return rng() % range; } But in addition to being slow, it is also biased. To understand why rand() % 52 produces biased numbers, if we assume that rand() produces numbers in the range [0..2^32), observe that 52 does not perfectly divide 2