Package Exports
- @stdlib/math-base-special-maxabsn
- @stdlib/math-base-special-maxabsn/dist
- @stdlib/math-base-special-maxabsn/dist/index.js
- @stdlib/math-base-special-maxabsn/lib/index.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/math-base-special-maxabsn) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
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maxabsn
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
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.