@stdlib/stats-base-ndarray-maxabs
v0.1.1
Published
Compute the maximum absolute value of a one-dimensional ndarray.
Readme
maxabs
Compute the maximum absolute value of a one-dimensional ndarray.
Installation
npm install @stdlib/stats-base-ndarray-maxabsUsage
var maxabs = require( '@stdlib/stats-base-ndarray-maxabs' );maxabs( arrays )
Computes the maximum absolute value of a one-dimensional ndarray.
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var xbuf = [ -1.0, 3.0, -4.0, 2.0 ];
var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
var v = maxabs( [ x ] );
// returns 4.0The function has the following parameters:
- arrays: array-like object containing a one-dimensional input ndarray.
Notes
- If provided an empty one-dimensional ndarray, the function returns
NaN.
Examples
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var maxabs = require( '@stdlib/stats-base-ndarray-maxabs' );
var xbuf = discreteUniform( 10, -50, 50, {
'dtype': 'generic'
});
var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );
var v = maxabs( [ x ] );
console.log( v );Notice
This package is part of stdlib, a standard library for JavaScript and Node.js, 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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2026. The Stdlib Authors.
