Strided

Pseudorandom number generator (PRNG) strided array functions.

Installation

npm install @stdlib/random-strided

Usage

var ns = require( '@stdlib/random-strided' );

ns

Namespace containing strided array pseudorandom number generator (PRNG) functions.

var o = ns;
// returns {...}

The namespace contains the following:

• arcsine( N, a, sa, b, sb, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from an arcsine distribution.
• bernoulli( N, p, sp, out, so ): fill a strided array with pseudorandom numbers drawn from a Bernoulli distribution.
• beta( N, alpha, sa, beta, sb, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from a beta distribution.
• betaprime( N, alpha, sa, beta, sb, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from a beta prime distribution.
• chi( N, k, sk, out, so ): fill a strided array with pseudorandom numbers drawn from a chi distribution.
• chisquare( N, k, sk, out, so ): fill a strided array with pseudorandom numbers drawn from a chi-square distribution.
• cosine( N, mu, sm, s, ss, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from a raised cosine distribution.
• discreteUniform( N, a, sa, b, sb, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from a discrete uniform distribution.
• exponential( N, lambda, sl, out, so ): fill a strided array with pseudorandom numbers drawn from an exponential distribution.
• gamma( N, alpha, sa, beta, sb, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from a gamma distribution.
• geometric( N, p, sp, out, so ): fill a strided array with pseudorandom numbers drawn from a geometric distribution.
• invgamma( N, alpha, sa, beta, sb, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.
• lognormal( N, mu, sm, sigma, ss, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from a lognormal distribution.
• minstdShuffle( N, out, so[, options] ): fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
• minstd( N, out, so[, options] ): fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).
• mt19937( N, out, so[, options] ): fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
• normal( N, mu, sm, sigma, ss, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from a normal distribution.
• poisson( N, lambda, sl, out, so ): fill a strided array with pseudorandom numbers drawn from a Poisson distribution.
• randu( N, out, so[, options] ): fill a strided array with uniformly distributed pseudorandom numbers between 0 and 1.
• rayleigh( N, sigma, ss, out, so ): fill a strided array with pseudorandom numbers drawn from a Rayleigh distribution.
• t( N, v, sv, out, so ): fill a strided array with pseudorandom numbers drawn from a Student's t-distribution.
• uniform( N, a, sa, b, sb, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from a continuous uniform distribution.
• weibull( N, k, sk, lambda, sl, out, so[, options] ): fill a strided array with pseudorandom numbers drawn from a Weibull distribution.

Examples

var objectKeys = require( '@stdlib/utils-keys' );
var ns = require( '@stdlib/random-strided' );

console.log( objectKeys( ns ) );

Notice

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.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.