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Compute the L2-norm of a complex single-precision floating-point vector.
import scnrm2 from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-base-scnrm2@esm/index.mjs';
Computes the L2-norm of a complex single-precision floating-point vector.
import Complex64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-complex64@esm/index.mjs';
var cx = new Complex64Array( [ 0.3, 0.1, 0.5, 0.0, 0.0, 0.5, 0.0, 0.2 ] );
var norm = scnrm2( 4, cx, 1 );
// returns ~0.8
The function has the following parameters:
- N: number of indexed elements.
- cx: input
Complex64Array
. - strideX: index increment for
cx
.
The N
and stride parameters determine which elements in the strided array are accessed at runtime. For example, to traverse every other value,
import Complex64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-complex64@esm/index.mjs';
var cx = new Complex64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
var norm = scnrm2( 2, cx, 2 );
// returns ~4.6
Note that indexing is relative to the first index. To introduce an offset, use typed array
views.
import Complex64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-complex64@esm/index.mjs';
// Initial array:
var cx0 = new Complex64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
// Create an offset view:
var cx1 = new Complex64Array( cx0.buffer, cx0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
// Compute the L2-norm:
var norm = scnrm2( 2, cx1, 1 );
// returns ~9.3
Computes the L2-norm of a complex single-precision floating-point vector using alternative indexing semantics.
import Complex64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-complex64@esm/index.mjs';
var cx = new Complex64Array( [ 0.3, 0.1, 0.5, 0.0, 0.0, 0.5, 0.0, 0.2 ] );
var norm = scnrm2.ndarray( 4, cx, 1, 0 );
// returns ~0.8
The function has the following additional parameters:
- offsetX: starting index.
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 start from the second index,
import Complex64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-complex64@esm/index.mjs';
var cx = new Complex64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
var norm = scnrm2.ndarray( 2, cx, 1, 1 );
// returns ~9.3
<!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 filledarrayBy from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-filled-by@esm/index.mjs';
import Complex64 from 'https://cdn.jsdelivr.net/gh/stdlib-js/complex-float32-ctor@esm/index.mjs';
import scnrm2 from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-base-scnrm2@esm/index.mjs';
function rand() {
return new Complex64( discreteUniform( 0, 10 ), discreteUniform( -5, 5 ) );
}
var cx = filledarrayBy( 10, 'complex64', rand );
console.log( cx.toString() );
// Compute the L2-norm:
var norm = scnrm2( cx.length, cx, 1 );
console.log( norm );
</script>
</body>
</html>
This package is part of stdlib, a standard library 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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