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Return the maximum absolute value.
npm install @stdlib/math-base-special-maxabsn
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch (see README).
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To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var maxabsn = require( '@stdlib/math-base-special-maxabsn' );
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
- 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).
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 );
}
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.
See LICENSE.
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