itercusumabs2

Create an iterator which iteratively computes a cumulative sum of squared absolute values.

The cumulative sum of squared absolute values is defined as

Installation

npm install @stdlib/stats-iter-cusumabs2

Usage

var itercusumabs2 = require( '@stdlib/stats-iter-cusumabs2' );

itercusumabs2( iterator )

Returns an iterator which iteratively computes a cumulative sum of squared absolute values.

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

var arr = array2iterator( [ 2.0, 1.0, 3.0, -7.0, -5.0 ] );
var it = itercusumabs2( arr );

var s = it.next().value;
// returns 4.0

s = it.next().value;
// returns 5.0

s = it.next().value;
// returns 14.0

s = it.next().value;
// returns 63.0

s = it.next().value;
// returns 88.0

Notes

• If an iterated value is non-numeric (including NaN), the function returns NaN for all future iterations. If non-numeric iterated values are possible, you are advised to provide an iterator which type checks and handles non-numeric values accordingly.

Examples

var runif = require( '@stdlib/random-iter-uniform' );
var itercusumabs2 = require( '@stdlib/stats-iter-cusumabs2' );

// Create an iterator for generating uniformly distributed pseudorandom numbers:
var rand = runif( -10.0, 10.0, {
    'seed': 1234,
    'iter': 100
});

// Create an iterator for iteratively computing a cumulative sum of squared absolute values:
var it = itercusumabs2( rand );

// Perform manual iteration...
var v;
while ( true ) {
    v = it.next();
    if ( typeof v.value === 'number' ) {
        console.log( 'sumabs2: %d', v.value );
    }
    if ( v.done ) {
        break;
    }
}

See Also

• @stdlib/stats-iter/cumeanabs2: create an iterator which iteratively computes a cumulative arithmetic mean of squared absolute values.
• @stdlib/stats-iter/cusumabs: create an iterator which iteratively computes a cumulative sum of absolute values.
• @stdlib/stats-iter/sumabs2: compute the sum of squared absolute values for all iterated values.

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.