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@stdlib/math-base-special-maxabsn

v0.2.1

Published

Return the maximum absolute value.

Downloads

28

Readme

maxabsn

NPM version Build Status Coverage Status

Return the maximum absolute value.

Installation

npm install @stdlib/math-base-special-maxabsn

Usage

var maxabsn = require( '@stdlib/math-base-special-maxabsn' );

maxabsn( [x[, y[, ...args]]] )

Returns the maximum absolute value.

var v = maxabsn( -4.2, 3.14 );
// returns 4.2

v = maxabsn( +0.0, -0.0 );
// returns +0.0

v = maxabsn( 4.2, 3.14, -1.0, 6.8 );
// returns 6.8

If any argument is NaN, the function returns NaN.

var v = maxabsn( 4.2, NaN );
// returns NaN

v = maxabsn( NaN, 3.14 );
// returns NaN

If not provided any arguments, the function returns +infinity.

var v = maxabsn();
// returns Infinity

Notes

  • When an empty set is considered a subset of the extended reals (all real numbers, including positive and negative infinity), negative infinity is the least upper bound. Similar to zero being the identity element for the sum of an empty set and to one being the identity element for the product of an empty set, negative infinity is the identity element for the maximum, and thus, the function returns +infinity (i.e., the absolute value of negative infinity).

Examples

var randu = require( '@stdlib/random-base-randu' );
var maxabsn = require( '@stdlib/math-base-special-maxabsn' );

var x;
var y;
var v;
var i;

for ( i = 0; i < 100; i++ ) {
    x = ( randu()*1000.0 ) - 500.0;
    y = ( randu()*1000.0 ) - 500.0;
    v = maxabsn( x, y );
    console.log( 'maxabs(%d,%d) = %d', x, y, 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

Chat


License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.