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@stdlib/random-base-minstd
Advanced tools
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
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A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
npm install @stdlib/random-base-minstd
var minstd = require( '@stdlib/random-base-minstd' );
Returns a pseudorandom integer on the interval [1, 2147483646]
.
var r = minstd();
// returns <number>
Returns a pseudorandom number on the interval [0,1)
.
var r = minstd.normalized();
// returns <number>
Returns a linear congruential pseudorandom number generator (LCG).
var rand = minstd.factory();
The function accepts the following options
:
Int32Array
containing pseudorandom number generator state. If provided, the function ignores the seed
option.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, a random integer is used to seed the returned generator. To seed the generator, provide either an integer
on the interval [1, 2147483646]
var rand = minstd.factory({
'seed': 1234
});
var r = rand();
// returns 20739838
or, for arbitrary length seeds, an array-like object
containing signed 32-bit integers
var Int32Array = require( '@stdlib/array-int32' );
var rand = minstd.factory({
'seed': new Int32Array( [ 1234 ] )
});
var r = rand();
// returns 20739838
To return a generator having a specific initial state, set the generator state
option.
var rand;
var bool;
var r;
var i;
// Generate pseudorandom numbers, thus progressing the generator state:
for ( i = 0; i < 1000; i++ ) {
r = minstd();
}
// Create a new PRNG initialized to the current state of `minstd`:
rand = minstd.factory({
'state': minstd.state
});
// Test that the generated pseudorandom numbers are the same:
bool = ( rand() === minstd() );
// returns true
The generator name.
var str = minstd.NAME;
// returns 'minstd'
Minimum possible value.
var min = minstd.MIN;
// returns 1
Maximum possible value.
var max = minstd.MAX;
// returns 2147483646
The value used to seed minstd()
.
var rand;
var r;
var i;
// Generate pseudorandom values...
for ( i = 0; i < 100; i++ ) {
r = minstd();
}
// Generate the same pseudorandom values...
rand = minstd.factory({
'seed': minstd.seed
});
for ( i = 0; i < 100; i++ ) {
r = rand();
}
Length of generator seed.
var len = minstd.seedLength;
// returns <number>
Writable property for getting and setting the generator state.
var r = minstd();
// returns <number>
r = minstd();
// returns <number>
// ...
// Get the current state:
var state = minstd.state;
// returns <Int32Array>
r = minstd();
// returns <number>
r = minstd();
// returns <number>
// Reset the state:
minstd.state = state;
// Replay the last two pseudorandom numbers:
r = minstd();
// returns <number>
r = minstd();
// returns <number>
// ...
Length of generator state.
var len = minstd.stateLength;
// returns <number>
Size (in bytes) of generator state.
var sz = minstd.byteLength;
// returns <number>
Serializes the pseudorandom number generator as a JSON object.
var o = minstd.toJSON();
// returns { 'type': 'PRNG', 'name': '...', 'state': {...}, 'params': [] }
2.1e9
(see Numerical Recipes in C, 2nd Edition, p. 279).var minstd = require( '@stdlib/random-base-minstd' );
var seed;
var rand;
var i;
// Generate pseudorandom numbers...
for ( i = 0; i < 100; i++ ) {
console.log( minstd() );
}
// Create a new pseudorandom number generator...
seed = 1234;
rand = minstd.factory({
'seed': seed
});
for ( i = 0; i < 100; i++ ) {
console.log( rand() );
}
// Create another pseudorandom number generator using a previous seed...
rand = minstd.factory({
'seed': minstd.seed
});
for ( i = 0; i < 100; i++ ) {
console.log( rand() );
}
@stdlib/random-array/minstd
: create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).@stdlib/random-iter/minstd
: create an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.@stdlib/random-streams/minstd
: create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.@stdlib/random-base/minstd-shuffle
: A linear congruential pseudorandom number generator (LCG) whose output is shuffled.@stdlib/random-base/mt19937
: A 32-bit Mersenne Twister pseudorandom number generator.@stdlib/random-base/randi
: pseudorandom numbers having integer values.This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
Copyright © 2016-2024. The Stdlib Authors.
FAQs
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
The npm package @stdlib/random-base-minstd receives a total of 6,496 weekly downloads. As such, @stdlib/random-base-minstd popularity was classified as popular.
We found that @stdlib/random-base-minstd demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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