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Calculate the sum of single-precision floating-point strided array elements, ignoring
NaNvalues, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
import dsnansumors from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-ext-base-dsnansumors@esm/index.mjs';Computes the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@esm/index.mjs';
var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
var v = dsnansumors( x.length, x, 1 );
// returns 1.0The function has the following parameters:
- N: number of indexed elements.
- x: input
Float32Array. - stride: stride length 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:
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@esm/index.mjs';
var x = new Float32Array( [ 1.0, 2.0, NaN, -7.0, NaN, 3.0, 4.0, 2.0 ] );
var v = dsnansumors( 4, x, 2 );
// returns 5.0Note that indexing is relative to the first index. To introduce an offset, use typed array views.
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@esm/index.mjs';
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 = dsnansumors( 4, x1, 2 );
// returns 5.0Computes the sum of single-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation with extended accumulation and alternative indexing semantics.
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@esm/index.mjs';
var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
var v = dsnansumors.ndarray( x.length, x, 1, 0 );
// returns 1.0The 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 calculate the sum of every other element starting from the second element:
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@esm/index.mjs';
var x = new Float32Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var v = dsnansumors.ndarray( 4, x, 2, 1 );
// returns 5.0- If
N <= 0, both functions return0.0. - Accumulated intermediate values are stored as double-precision floating-point numbers.
<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-discrete-uniform@esm/index.mjs';
import bernoulli from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-bernoulli@esm/index.mjs';
import filledarrayBy from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-filled-by@esm/index.mjs';
import dsnansumors from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-ext-base-dsnansumors@esm/index.mjs';
function rand() {
if ( bernoulli( 0.8 ) > 0 ) {
return NaN;
}
return discreteUniform( 0, 100 );
}
var x = filledarrayBy( 10, 'float32', rand );
console.log( x );
var v = dsnansumors( x.length, x, 1 );
console.log( v );
</script>
</body>
</html>@stdlib/stats-base/dsnanmeanors: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.@stdlib/blas-ext/base/dssum: calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.@stdlib/blas-ext/base/dssumors: calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation with extended accumulation and returning an extended precision result.@stdlib/blas-ext/base/snansumors: calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
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See LICENSE.
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