@stdlib/math-iter-special-riemann-zeta

iterZeta

Create an iterator which evaluates the Riemann zeta function for each iterated value.

Installation

npm install @stdlib/math-iter-special-riemann-zeta

Usage

var iterZeta = require( '@stdlib/math-iter-special-riemann-zeta' );

iterZeta( iterator )

Returns an iterator which iteratively evaluates the Riemann zeta function.

var array2iterator = require( '@stdlib/array-to-iterator' );

var it = iterZeta( array2iterator( [ 1.1, -4.0 ] ) );
// returns <Object>

var v = it.next().value;
// returns ~10.584

v = it.next().value;
// returns 0.0

// ...

The returned iterator protocol-compliant object has the following properties:

• next: function which returns an iterator protocol-compliant object containing the next iterated value (if one exists) assigned to a value property and a done property having a boolean value indicating whether the iterator is finished.
• return: function which closes an iterator and returns a single (optional) argument in an iterator protocol-compliant object.

Notes

• If an iterated value is non-numeric (including NaN), the returned iterator returns NaN. If non-numeric iterated values are possible, you are advised to provide an iterator which type checks and handles non-numeric values accordingly.
• If an environment supports Symbol.iterator and a provided iterator is iterable, the returned iterator is iterable.

Examples

var uniform = require( '@stdlib/random-iter-uniform' );
var iterZeta = require( '@stdlib/math-iter-special-riemann-zeta' );

// Create a seeded iterator for generating pseudorandom numbers:
var rand = uniform( 1.1, 50.0, {
    'seed': 1234,
    'iter': 10
});

// Create an iterator which consumes the pseudorandom number iterator:
var it = iterZeta( rand );

// Perform manual iteration...
var v;
while ( true ) {
    v = it.next();
    if ( v.done ) {
        break;
    }
    console.log( v.value );
}

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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.

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License

See LICENSE.

Copyright

Copyright © 2016-2021. The Stdlib Authors.