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Calculate the sum of strided array elements.
npm install @stdlib/blas-ext-base-gsum
var gsum = require( '@stdlib/blas-ext-base-gsum' );
Computes the sum of strided array elements.
var x = [ 1.0, -2.0, 2.0 ];
var N = x.length;
var v = gsum( N, x, 1 );
// returns 1.0
The function has the following parameters:
- N: number of indexed elements.
-
x: input
Array
ortyped array
. -
stride: index increment for
x
.
The N
and stride
parameters determine which elements in x
are accessed at runtime. For example, to compute the sum of every other element in x
,
var floor = require( '@stdlib/math-base-special-floor' );
var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ];
var N = floor( x.length / 2 );
var v = gsum( N, x, 2 );
// returns 5.0
Note that indexing is relative to the first index. To introduce an offset, use typed array
views.
var Float64Array = require( '@stdlib/array-float64' );
var floor = require( '@stdlib/math-base-special-floor' );
var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var N = floor( x0.length / 2 );
var v = gsum( N, x1, 2 );
// returns 5.0
Computes the sum of strided array elements using alternative indexing semantics.
var x = [ 1.0, -2.0, 2.0 ];
var N = x.length;
var v = gsum.ndarray( N, x, 1, 0 );
// returns 1.0
The function has the following additional parameters:
-
offset: starting index for
x
.
While typed array
views mandate a view offset based on the underlying buffer
, the offset
parameter supports indexing semantics based on a starting index. For example, to calculate the sum of every other value in x
starting from the second value
var floor = require( '@stdlib/math-base-special-floor' );
var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
var N = floor( x.length / 2 );
var v = gsum.ndarray( N, x, 2, 1 );
// returns 5.0
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var Float64Array = require( '@stdlib/array-float64' );
var gsum = require( '@stdlib/blas-ext-base-gsum' );
var x;
var i;
x = new Float64Array( 10 );
for ( i = 0; i < x.length; i++ ) {
x[ i ] = round( randu()*100.0 );
}
console.log( x );
var v = gsum( x.length, x, 1 );
console.log( v );
-
@stdlib/blas-ext/base/dsum
: calculate the sum of double-precision floating-point strided array elements. -
@stdlib/blas-ext/base/gnansum
: calculate the sum of strided array elements, ignoring NaN values. -
@stdlib/blas-ext/base/ssum
: calculate the sum of single-precision floating-point strided array elements. -
@stdlib/stats-base/mean
: calculate the arithmetic mean of a strided array.
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.
See LICENSE.
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