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Calculate the cumulative minimum absolute value of single-precision floating-point strided array elements.
To use in Observable,
scuminabs = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-scuminabs@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var scuminabs = require( 'path/to/vendor/umd/stats-base-scuminabs/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-scuminabs@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.scuminabs;
})();
</script>Computes the cumulative minimum absolute value of single-precision floating-point strided array elements.
var Float32Array = require( '@stdlib/array-float32' );
var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
var y = new Float32Array( x.length );
scuminabs( x.length, x, 1, y, 1 );
// y => <Float32Array>[ 1.0, 1.0, 1.0 ]The function has the following parameters:
- N: number of indexed elements.
- x: input
Float32Array. - strideX: stride length for
x. - y: output
Float32Array. - strideY: stride length for
y.
The N and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the cumulative minimum absolute value of every other element in x,
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 y = new Float32Array( x.length );
var v = scuminabs( 4, x, 2, y, 1 );
// y => <Float32Array>[ 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0 ]Note that indexing is relative to the first index. To introduce an offset, use typed array views.
var Float32Array = require( '@stdlib/array-float32' );
// Initial arrays...
var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var y0 = new Float32Array( x0.length );
// Create offset views...
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var y1 = new Float32Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
scuminabs( 4, x1, -2, y1, 1 );
// y0 => <Float32Array>[ 0.0, 0.0, 0.0, 4.0, 2.0, 2.0, 1.0, 0.0 ]Computes the cumulative minimum absolute value of single-precision floating-point strided array elements using alternative indexing semantics.
var Float32Array = require( '@stdlib/array-float32' );
var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
var y = new Float32Array( x.length );
scuminabs.ndarray( x.length, x, 1, 0, y, 1, 0 );
// y => <Float32Array>[ 1.0, 1.0, 1.0 ]The function has the following additional parameters:
- offsetX: starting index for
x. - offsetY: starting index for
y.
While typed array views mandate a view offset based on the underlying buffer, offset parameters support indexing semantics based on starting indices. For example, to calculate the cumulative minimum absolute value of every other element in x starting from the second element and to store in the last N elements of y starting from the last 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 y = new Float32Array( x.length );
scuminabs.ndarray( 4, x, 2, 1, y, -1, y.length-1 );
// y => <Float32Array>[ 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0 ]- If
N <= 0, both functions returnyunchanged.
<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-scuminabs@umd/browser.js"></script>
<script type="text/javascript">
(function () {
var x = discreteUniform( 10, -50, 50, {
'dtype': 'float32'
});
var y = new Float32Array( x.length );
console.log( x );
console.log( y );
scuminabs( x.length, x, 1, y, -1 );
console.log( y );
})();
</script>
</body>
</html>@stdlib/stats-base/cuminabs: calculate the cumulative minimum absolute value of a strided array.@stdlib/stats-strided/dcuminabs: calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.@stdlib/stats-strided/scumaxabs: calculate the cumulative maximum absolute value of single-precision floating-point strided array elements.@stdlib/stats-base/scumin: calculate the cumulative minimum of single-precision floating-point strided array elements.
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