Random Number Generation

Seeds, distributions, algorithms

Use the rand, randn, and randi functions to create sequences of pseudorandom numbers, and the randperm function to create a vector of randomly permuted integers. Use the rng function to control the repeatability of your results. Use the RandStream class when you need more advanced control over random number generation.

Funzioni

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Create Random Values

`rand`	Uniformly distributed random numbers
`randn`	Normally distributed random numbers
`randi`	Uniformly distributed pseudorandom integers
`randperm`	Random permutation of integers

Define Generator Parameters

`rng`	Control random number generator
`RandStream`	Random number stream

Argomenti

Generate Random Numbers

Create Arrays of Random Numbers
Use rand, randi, randn, and randperm to create arrays of random numbers.
Random Numbers Within a Specific Range
This example shows how to create an array of random floating-point numbers that are drawn from a uniform distribution in a specific interval.
Random Integers
This example shows how to create an array of random integer values that are drawn from a discrete uniform distribution on a specific set of numbers.
Random Numbers from Normal Distribution with Specific Mean and Variance
This example shows how to create an array of random floating-point numbers that are drawn from a normal distribution having a specified mean and variance.
Random Numbers Within a Sphere
This example shows how to create random points within the volume of a sphere.
Why Do Random Numbers Repeat After Startup?
Avoid repetition of random number arrays when MATLAB^® restarts.
Replace Discouraged Syntaxes of rand and randn
Replace Discouraged Syntaxes of rand and randn.

Control Random Number Generation

Controlling Random Number Generation
This example shows how to use the rng function, which provides control over random number generation.
Generate Random Numbers That Are Repeatable
This example shows how to repeat arrays of random numbers by specifying the seed first. Every time you initialize the generator using the same seed, you always get the same result.
Generate Random Numbers That Are Different
This example shows how to avoid repeating the same random number arrays when MATLAB restarts.

Control Multiple Streams or Substreams

Managing the Global Stream Using RandStream
This example shows how to use the RandStream class to control random number generation from the global stream.
Multiple Streams
This example uses RandStream to create multiple, independent random number streams.
Creating and Controlling a Random Number Stream
This example shows how to use RandStream to create random number streams and substreams.