@stdlib/stats-iter-cumaxabs

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itercumaxabs

Create an iterator which iteratively computes a cumulative maximum absolute value.

Installation

npm install @stdlib/stats-iter-cumaxabs

Usage

var itercumaxabs = require( '@stdlib/stats-iter-cumaxabs' );

itercumaxabs( iterator )

Returns an iterator which iteratively computes a cumulative maximum absolute value.

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

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

var m = it.next().value;
// returns 2.0

m = it.next().value;
// returns 2.0

m = it.next().value;
// returns 3.0

m = it.next().value;
// returns 7.0

m = it.next().value;
// returns 7.0

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 itercumaxabs = require( '@stdlib/stats-iter-cumaxabs' );

// 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 maximum absolute value:
var it = itercumaxabs( rand );

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

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See Also

• @stdlib/stats-iter/cumax: create an iterator which iteratively computes a cumulative maximum value.
• @stdlib/stats-iter/cuminabs: create an iterator which iteratively computes a cumulative minimum absolute value.
• @stdlib/stats-iter/maxabs: compute the maximum absolute value of all iterated values.

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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.

Community

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License

See LICENSE.

Copyright

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