dsnansum

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using extended accumulation, and returning an extended precision result.

Usage

var dsnansum = require( '@stdlib/blas/ext/base/dsnansum' );

dsnansum( N, x, stride )

Computes the sum of single-precision floating-point strided array elements, ignoring NaN values, using extended accumulation, and returning an extended precision result.

var Float32Array = require( '@stdlib/array/float32' );

var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
var N = x.length;

var v = dsnansum( N, x, 1 );
// returns 1.0

The function has the following parameters:

N: number of indexed elements.
x: input Float32Array.
stride: index increment for x.

The N and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the sum of every other element in x,

var Float32Array = require( '@stdlib/array/float32' );

var x = new Float32Array( [ 1.0, 2.0, NaN, -7.0, NaN, 3.0, 4.0, 2.0 ] );

var v = dsnansum( 4, x, 2 );
// returns 5.0

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, NaN, -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 = dsnansum( 4, x1, 2 );
// returns 5.0

dsnansum.ndarray( N, x, stride, offset )

Computes the sum of single-precision floating-point strided array elements, ignoring NaN values and using extended accumulation and alternative indexing semantics.

var Float32Array = require( '@stdlib/array/float32' );

var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );

var v = dsnansum.ndarray( 4, 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 Float32Array = require( '@stdlib/array/float32' );

var x = new Float32Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );

var v = dsnansum.ndarray( 4, x, 2, 1 );
// returns 5.0

Notes

If N <= 0, both functions return 0.0.
Accumulated intermediate values are stored as double-precision floating-point numbers.

Examples

var bernoulli = require( '@stdlib/random/base/bernoulli' );
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
var filledarrayBy = require( '@stdlib/array/filled-by' );
var dsnansum = require( '@stdlib/blas/ext/base/dsnansum' );

function clbk() {
    if ( bernoulli( 0.7 ) > 0 ) {
        return discreteUniform( -10, 10 );
    }
    return NaN;
}

var x = filledarrayBy( 10, 'float64', clbk );
console.log( x );

var v = dsnansum( x.length, x, 1 );
console.log( v );