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Questions tagged [uniform-distribution]

159 questions
53
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9 answers

How to get a uniform distribution in a range [r1,r2] in PyTorch?

I want to get a 2-D torch.Tensor with size [a,b] filled with values from a uniform distribution (in range [r1,r2]) in PyTorch.
Bishwajit Purkaystha
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Random numbers that add to 100: Matlab

[I'm splitting a population number into different matrices and want to test my code using random numbers for now.] Quick question guys and thanks for your help in advance - If I use; 100*rand(9,1) What is the best way to make these 9 numbers add…
Tetra
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Sampling uniformly distributed random points inside a spherical volume

I am looking to be able to generate a random uniform sample of particle locations that fall within a spherical volume. The image below (courtesy of http://nojhan.free.fr/metah/) shows what I am looking for. This is a slice through the sphere,…
Tim McJilton
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Generate a random sample of points distributed on the surface of a unit sphere

I am trying to generate random points on the surface of the sphere using numpy. I have reviewed the post that explains uniform distribution here. However, need ideas on how to generate the points only on the surface of the sphere. I have coordinates…
Parin
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How do I generate Log Uniform Distribution in Python?

I could not find a built-in function in Python to generate a log uniform distribution given a min and max value (the R equivalent is here), something like: loguni[n, exp(min), exp(max), base] that returns n log uniformly distributed in the range…
jkrish
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4 answers

Can random.uniform(0,1) ever generate 0 or 1?

In the documentation it is said that there is a chance that uniform(0,1) can generate the values 0 and 1. I have run uniform(0, 1) 10000 times, but it never produced zero. Even in the case of uniform(0, 0.001). Can random.uniform(0,1) ever…
Venkatesh Gandi
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runif with .Machine$double.xmax as boundaries

I wanted to generate a random real (I guess rational) number. To do this I wanted to use runif(1, min = m, max = M) and my thoughts were to set m; M (absolute) as large as possible in order to make the interval as large as possible. Which brings me…
niko
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Distribution of Random Numbers

I have two options of code: Option 1 int myFunc() { return new Random().nextInt(); } Or: Option 2 private static final Random random = new Random(); int myFunc() { return random.nextInt(); } I understand that option 2 is more idiomatic. I am…
Benjy Kessler
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3 answers

Uniform Distribution: Bug or Paradox

Imagine 10 cars randomly, uniformly distributed on a round track of length 1. If the positions are represented by a C double in the range [0,1> then they can be sorted and the gaps between the cars should be the position of the car in front minus…
APA
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2 answers

generate a random point within rectangles' areas uniformly (some rectangles could overlap)

Assume it's given a set of rectangles with different areas and some rectangles could overlap. Objective is generating of a uniform random point among rectangles' areas. Rectangle is defined as a pair of two points: (x1,y1) - bottom leftmost corner;…
Zhandos
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Do std::random_device and std::mt19937 follow an uniform distribution?

I'm trying to convert this line of matlab in C++: rp = randperm(p); Following the randperm documentation: randperm uses the same random number generator as rand And in rand page: rand returns a single uniformly distributed random number So rand…
justHelloWorld
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Will "min to max" uniform real distribution produce Inf,-Inf, or NaN?

If I were to produce floating point values in the following way: template T RandomFromRange(T low, T high){ std::random_device random_device; std::mt19937 engine{random_device()}; std::uniform_real_distribution…
Trevor Hickey
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5
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Getting a random float value in [-1, 1] in Julia

Is p = rand(-1.:eps():1., 100000) a good way to get random Float values in [-1, 1]? A common suggestion seems to be 2. * rand(100000) - 1. instead, but this doesn't ever return 1 since rand's range is [0, 1) this skips out on a lot of values:…
Sundar R
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ECDF plot from a truncated MD5

In this link, it says that truncated MD5 is uniformly distributed. I wanted to check it using PySpark and I created 1,000,000 UUIDs in Python first as shown below. Then truncated the first three characters from MD5. But the plot I get is not…
Fisseha Berhane
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Sampling Uniformly within the Unit Circle

I want to sample a two-dimensional vector x from a uniform distribution with ∥x∥ ≤ 1. I know I can sample from a uniform distribution as numpy.random.uniform(0.0, 1.0, 2) but how can I make sure ∥x∥ ≤ 1?
user77005
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