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Normally distributed random numbers

`X = randn`

`X = randn(n)`

`X = randn(sz1,...,szN)`

`X = randn(sz)`

`X = randn(___,typename)`

`X = randn(___,'like',p)`

`X = randn`

returns a random scalar drawn
from the standard normal distribution.

`X = randn(`

returns
an `sz1,...,szN`

)`sz1`

-by-...-by-`szN`

array of
random numbers where `sz1,...,szN`

indicate the size
of each dimension. For example, `randn(3,4)`

returns
a 3-by-4 matrix.

`X = randn(___,`

returns
an array of random numbers of data type `typename`

)`typename`

.
The `typename`

input can be either `'single'`

or `'double'`

.
You can use any of the input arguments in the previous syntaxes.

`X = randn(___,'like',`

returns
an array of random numbers like `p`

)`p`

; that is, of
the same object type as `p`

. You can specify either `typename`

or `'like'`

,
but not both.

The `'seed'`

, `'state'`

, and `'twister'`

inputs
to the `randn`

function are not recommended. Use
the `rng`

function instead. For
more information, see Replace Discouraged Syntaxes of rand and randn.

The sequence of numbers produced by

`randn`

is determined by the internal settings of the uniform pseudorandom number generator that underlies`rand`

,`randi`

, and`randn`

. You can control that shared random number generator using`rng`

.

`RandStream`

| `rand`

| `randi`

| `randperm`

| `rng`

| `sprand`

| `sprandn`

- Create Arrays of Random Numbers
- Random Numbers Within a Specific Range
- Random Numbers Within a Sphere
- Random Numbers from Normal Distribution with Specific Mean and Variance
- Creating and Controlling a Random Number Stream
- Class Support for Array-Creation Functions
- Replace Discouraged Syntaxes of rand and randn
- Why Do Random Numbers Repeat After Startup?

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