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gcusum

NPM version Build Status Coverage Status

Compute the cumulative sum of a one-dimensional ndarray.

Usage

import gcusum from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-ext-base-ndarray-gcusum@deno/mod.js';

gcusum( arrays )

Computes the cumulative sum of a one-dimensional ndarray.

import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@deno/mod.js';
import scalar2ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-from-scalar@deno/mod.js';
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-ctor@deno/mod.js';

var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var ybuf = [ 0.0, 0.0, 0.0, 0.0 ];
var y = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var initial = scalar2ndarray( 0.0, 'generic', 'row-major' );

var v = gcusum( [ x, y, initial ] );
// returns <ndarray>

var bool = ( v === y );
// returns true

var arr = ndarray2array( v );
// returns [ 1.0, 4.0, 8.0, 10.0 ]

The function has the following parameters:

  • arrays: array-like object containing a one-dimensional input ndarray, a one-dimensional output ndarray, and a zero-dimensional ndarray containing the initial sum.

Notes

  • If provided an empty one-dimensional input ndarray, the function returns the output ndarray unchanged.

Examples

import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@deno/mod.js';
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-ctor@deno/mod.js';
import zerosLike from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-zeros-like@deno/mod.js';
import scalar2ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-from-scalar@deno/mod.js';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@deno/mod.js';
import gcusum from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-ext-base-ndarray-gcusum@deno/mod.js';

var xbuf = discreteUniform( 10, -50, 50, {
    'dtype': 'generic'
});
var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var y = zerosLike( x );
console.log( ndarray2array( y ) );

var initial = scalar2ndarray( 100.0, {
    'dtype': 'generic'
});

var v = gcusum( [ x, y, initial ] );
console.log( ndarray2array( v ) );

Notice

This package is part of stdlib, a standard library 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 © 2016-2025. The Stdlib Authors.

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