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About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

scuminabs

NPM version Build Status Coverage Status

Compute the cumulative minimum absolute value of a one-dimensional single-precision floating-point ndarray.

Usage

import scuminabs from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-scuminabs@esm/index.mjs';

scuminabs( arrays )

Computes the cumulative minimum absolute value of a one-dimensional single-precision floating-point ndarray.

import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@esm/index.mjs';
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-ctor@esm/index.mjs';

var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
var y = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var v = scuminabs( [ x, y ] );
// returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]

var bool = ( v === y );
// returns true

The function has the following parameters:

  • arrays: array-like object containing a one-dimensional input ndarray and a one-dimensional output ndarray.

Notes

  • If provided an empty one-dimensional input ndarray, the function returns the output ndarray unchanged.

Examples

<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">

import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@esm/index.mjs';
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-ctor@esm/index.mjs';
import zerosLike from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-zeros-like@esm/index.mjs';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@esm/index.mjs';
import scuminabs from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-scuminabs@esm/index.mjs';

var xbuf = discreteUniform( 10, -50, 50, {
    'dtype': 'float32'
});
var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var y = zerosLike( x );
console.log( ndarray2array( y ) );

var v = scuminabs( [ x, y ] );
console.log( ndarray2array( v ) );

</script>
</body>
</html>

Notice

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.

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License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.