snansumors
Calculate the sum of single-precision floating-point strided array elements, ignoring
NaN
values and using ordinary recursive summation.
Usage
var snansumors = require( '@stdlib/blas/ext/base/snansumors' );
snansumors( N, x, stride )
Computes the sum of single-precision floating-point strided array elements, ignoring NaN
values and using ordinary recursive summation.
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
var N = x.length;
var v = snansumors( N, x, 1 );
// returns 1.0
The function has the following parameters:
- N: number of indexed elements.
- x: input
Float32Array
. - stride: index increment for the strided array.
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 the strided array.
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 N = 4;
var v = snansumors( N, 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 = snansumors( 4, x1, 2 );
// returns 5.0
snansumors.ndarray( N, x, stride, offset )
Computes the sum of single-precision floating-point strided array elements, ignoring NaN
values and using ordinary recursive summation and alternative indexing semantics.
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
var N = x.length;
var v = snansumors.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 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 = snansumors.ndarray( 4, x, 2, 1 );
// returns 5.0
Notes
- If
N <= 0
, both functions return0.0
. - Ordinary recursive summation (i.e., a "simple" sum) is performant, but can incur significant numerical error. If performance is paramount and error tolerated, using ordinary recursive summation is acceptable; in all other cases, exercise due caution.
Examples
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
var bernoulli = require( '@stdlib/random/base/bernoulli' );
var filledarrayBy = require( '@stdlib/array/filled-by' );
var snansumors = require( '@stdlib/blas/ext/base/snansumors' );
function rand() {
if ( bernoulli( 0.7 ) > 0 ) {
return discreteUniform( 0, 100 );
}
return NaN;
}
var x = filledarrayBy( 10, 'float32', rand );
console.log( x );
var v = snansumors( x.length, x, 1 );
console.log( v );