dsapxsumpw
Add a constant to each single-precision floating-point strided array element, and compute the sum using pairwise summation with extended accumulation and returning an extended precision result.
Usage
var dsapxsumpw = require( '@stdlib/blas/ext/base/dsapxsumpw' );
dsapxsumpw( N, alpha, x, strideX )
Adds a constant to each single-precision floating-point strided array element, and computes the sum using pairwise summation with extended accumulation and returning an extended precision result.
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
var v = dsapxsumpw( x.length, 5.0, x, 1 );
// returns 16.0
The function has the following parameters:
- N: number of indexed elements.
- alpha: scalar constant.
- x: input
Float32Array
. - strideX: stride length for
x
.
The N
and stride parameters determine which elements in the strided array are accessed at runtime. For example, to access every other element:
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
var v = dsapxsumpw( 4, 5.0, x, 2 );
// returns 25.0
Note that indexing is relative to the first index. To introduce an offset, use typed array
views.
var Float32Array = require( '@stdlib/array/float32' );
var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var v = dsapxsumpw( 4, 5.0, x1, 2 );
// returns 25.0
dsapxsumpw.ndarray( N, alpha, x, strideX, offsetX )
Adds a constant to each single-precision floating-point strided array element, and computes the sum using pairwise summation with extended accumulation and alternative indexing semantics and returning an extended precision result.
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
var v = dsapxsumpw.ndarray( x.length, 5.0, x, 1, 0 );
// returns 16.0
The function has the following additional parameters:
- offsetX: 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 access every other element starting from the second element:
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var v = dsapxsumpw.ndarray( 4, 5.0, x, 2, 1 );
// returns 25.0
Notes
- If
N <= 0
, both functions return0.0
. - Accumulated intermediate values are stored as double-precision floating-point numbers.
Examples
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var dsapxsumpw = require( '@stdlib/blas/ext/base/dsapxsumpw' );
var x = discreteUniform( 10.0, -100, 100, {
'dtype': 'float32'
});
console.log( x );
var v = dsapxsumpw( x.length, 5.0, x, 1 );
console.log( v );
C APIs
Usage
#include "stdlib/blas/ext/base/dsapxsumpw.h"
stdlib_strided_dsapxsumpw( N, alpha, *X, strideX )
Adds a constant to each single-precision floating-point strided array element, and computes the sum using pairwise summation with extended accumulation and returning an extended precision result.
const float x[] = { 1.0f, -2.0f, 2.0f };
double v = stdlib_strided_dsapxsumpw( 3, 5.0f, x, 1 );
// returns 16.0
The function accepts the following arguments:
- N:
[in] CBLAS_INT
number of indexed elements. - alpha:
[in] float
scalar constant. - X:
[in] float*
input array. - strideX:
[in] CBLAS_INT
stride length forX
.
double stdlib_strided_dsapxsumpw( const CBLAS_INT N, const float alpha, const float *X, const CBLAS_INT strideX );
stdlib_strided_dsapxsumpw_ndarray( N, alpha, *X, strideX, offsetX )
Adds a constant to each single-precision floating-point strided array element, and computes the sum using pairwise summation with extended accumulation and alternative indexing semantics and returning an extended precision result.
const float x[] = { 1.0f, -2.0f, 2.0f };
double v = stdlib_strided_dsapxsumpw_ndarray( 3, 5.0f, x, 1, 0 );
// returns 16.0
The function accepts the following arguments:
- N:
[in] CBLAS_INT
number of indexed elements. - alpha:
[in] float
scalar constant. - X:
[in] float*
input array. - strideX:
[in] CBLAS_INT
stride length forX
. - offsetX:
[in] CBLAS_INT
starting index forX
.
double stdlib_strided_dsapxsumpw_ndarray( const CBLAS_INT N, const float alpha, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
Examples
#include "stdlib/blas/ext/base/dsapxsumpw.h"
#include <stdio.h>
int main( void ) {
// Create a strided array:
const float x[] = { 1.0f, -2.0f, 3.0f, -4.0f, 5.0f, -6.0f, 7.0f, -8.0f };
// Specify the number of indexed elements:
const int N = 8;
// Specify a stride:
const int strideX = 1;
// Compute the sum:
double v = stdlib_strided_dsapxsumpw( N, 5.0f, x, strideX );
// Print the result:
printf( "sum: %lf\n", v );
}
References
- Higham, Nicholas J. 1993. "The Accuracy of Floating Point Summation." SIAM Journal on Scientific Computing 14 (4): 783–99. doi:10.1137/0914050.