stdlib-js
<summary>
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</summary>
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randu
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Uniformly distributed pseudorandom numbers between 0 and 1.
bash
npm install @stdlib/random-base-randu
javascript
var randu = require( '@stdlib/random-base-randu' );
#### randu()
Returns a uniformly distributed pseudorandom number on the interval [0,1).
javascript
var r = randu();
// returns <number>
#### randu.factory( [options] )
Returns a pseudorandom number generator (PRNG) for generating uniformly distributed random numbers on the interval [0,1).
javascript
var rand = randu.factory();
The function accepts the following options:
- name: name of a supported pseudorandom number generator (PRNG), which will serve as the underlying source of pseudorandom numbers. The following generators are supported:
- [mt19937][@stdlib/random/base/mt19937]: 32-bit Mersenne Twister.
- [minstd][@stdlib/random/base/minstd]: linear congruential pseudorandom number generator (LCG) based on Park and Miller.
- [minstd-shuffle][@stdlib/random/base/minstd-shuffle]: linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Default: ['mt19937'][@stdlib/random/base/mt19937].
- seed: pseudorandom number generator seed. Valid seed values vary according to the underlying PRNG.
- state: pseudorandom number generator state. Valid state values vary according to the underlying PRNG. If provided, the function ignores the seed option.
- copy: boolean indicating whether to copy a provided pseudorandom number generator state. Setting this option to false allows sharing state between two or more pseudorandom number generators. Setting this option to true ensures that a returned generator has exclusive control over its internal state. Default: true.
By default, the underlying pseudorandom number generator is [mt19937][@stdlib/random/base/mt19937]. To use a different PRNG, set the name option.
javascript
var rand = randu.factory({
'name': 'minstd-shuffle'
});
var r = rand();
// returns <number>
To seed a pseudorandom number generator, set the seed option.
javascript
var rand1 = randu.factory({
'seed': 12345
});
var r1 = rand1();
// returns <number>
var rand2 = randu.factory({
'seed': 12345
});
var r2 = rand2();
// returns <number>
var bool = ( r1 === r2 );
// returns true
To return a generator having a specific initial state, set the generator state option.
javascript
var rand;
var bool;
var r;
var i;
// Generate pseudorandom numbers, thus progressing the generator state:
for ( i = 0; i < 1000; i++ ) {
r = randu();
}
// Create a new PRNG initialized to the current state of `randu`:
rand = randu.factory({
'state': randu.state
});
// Test that the generated pseudorandom numbers are the same:
bool = ( rand() === randu() );
// returns true
#### randu.NAME
The generator name.
javascript
var str = randu.NAME;
// returns 'randu'
#### randu.PRNG
The underlying pseudorandom number generator.
javascript
var prng = randu.PRNG;
// returns <Function>
#### randu.MIN
Minimum value lower bound.
javascript
var min = randu.MIN;
// returns 0.0
#### randu.MAX
Maximum value upper bound (not greater than 1 exclusive).
javascript
var max = randu.MAX;
// returns <number>
#### randu.seed
The value used to seed randu().
javascript
var rand;
var r;
var i;
// Generate pseudorandom values...
for ( i = 0; i < 100; i++ ) {
r = randu();
}
// Generate the same pseudorandom values...
rand = randu.factory({
'seed': randu.seed
});
for ( i = 0; i < 100; i++ ) {
r = rand();
}
#### randu.seedLength
Length of generator seed.
javascript
var len = randu.seedLength;
// returns <number>
#### randu.state
Writable property for getting and setting the generator state.
javascript
var r = randu();
// returns <number>
r = randu();
// returns <number>
// ...
// Get a copy of the current state:
var state = randu.state;
r = randu();
// returns <number>
r = randu();
// returns <number>
// Reset the state:
randu.state = state;
// Replay the last two pseudorandom numbers:
r = randu();
// returns <number>
r = randu();
// returns <number>
// ...
#### randu.stateLength
Length of generator state.
javascript
var len = randu.stateLength;
// returns <number>
#### randu.byteLength
Size (in bytes) of generator state.
javascript
var sz = randu.byteLength;
// returns <number>
#### randu.toJSON()
Serializes the pseudorandom number generator as a JSON object.
javascript
var o = randu.toJSON();
// returns { 'type': 'PRNG', 'name': '...', 'state': {...}, 'params': [] }
name option or use an underlying PRNG directly.
- If PRNG state is "shared" (meaning a state array was provided during PRNG creation and not copied) and one sets the generator state to a state array having a different length, the PRNG does not update the existing shared state and, instead, points to the newly provided state array. In order to synchronize PRNG output according to the new shared state array, the state array for each relevant PRNG must be explicitly set.
- If PRNG state is "shared" and one sets the generator state to a state array of the same length, the PRNG state is updated (along with the state of all other PRNGs sharing the PRNG's state array).
javascript
var randu = require( '@stdlib/random-base-randu' );
var seed;
var rand;
var i;
// Generate pseudorandom numbers...
for ( i = 0; i < 100; i++ ) {
console.log( randu() );
}
// Create a new pseudorandom number generator...
seed = 1234;
rand = randu.factory({
'seed': seed
});
for ( i = 0; i < 100; i++ ) {
console.log( rand() );
}
// Create another pseudorandom number generator using a previous seed...
rand = randu.factory({
'seed': randu.seed
});
for ( i = 0; i < 100; i++ ) {
console.log( rand() );
}
@stdlib/random-array/randu][@stdlib/random/array/randu]: create an array containing uniformly distributed pseudorandom numbers between 0 and 1.
- [@stdlib/random-iter/randu][@stdlib/random/iter/randu]: create an iterator for generating uniformly distributed pseudorandom numbers between 0 and 1.
- [@stdlib/random-streams/randu][@stdlib/random/streams/randu]: create a readable stream for generating uniformly distributed pseudorandom numbers between 0 and 1.
- [@stdlib/random-base/discrete-uniform][@stdlib/random/base/discrete-uniform]: discrete uniform distributed pseudorandom numbers.
- [@stdlib/random-base/randn][@stdlib/random/base/randn]: standard normal pseudorandom numbers.
