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Return the maximum absolute single-precision floating-point number.
npm install @stdlib/math-base-special-maxabsf
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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var maxabsf = require( '@stdlib/math-base-special-maxabsf' );
Returns the maximum absolute single-precision floating-point number.
var v = maxabsf( -4.0, 3.0 );
// returns 4.0
v = maxabsf( +0.0, -0.0 );
// returns +0.0
If any argument is NaN
, the function returns NaN
.
var v = maxabsf( 4.2, NaN );
// returns NaN
v = maxabsf( NaN, 3.14 );
// returns NaN
var randu = require( '@stdlib/random-array-uniform' );
var maxabsf = require( '@stdlib/math-base-special-maxabsf' );
var opts = {
'dtype': 'float32'
};
var x = randu( 100, -500.0, 500.0, opts );
var y = randu( 100, -500.0, 500.0, opts );
var v;
var i;
for ( i = 0; i < 100; i++ ) {
v = maxabsf( x[ i ], y[ i ] );
console.log( 'maxabsf(%d,%d) = %d', x[ i ], y[ i ], v );
}
#include "stdlib/math/base/special/maxabsf.h"
Returns the maximum absolute single-precision floating-point number.
float out = stdlib_base_maxabsf( -4.2f, 3.14f );
// returns ~4.2f
out = stdlib_base_maxabsf( 0.0f, -0.0f );
// returns +0.0f
The function accepts the following arguments:
- x:
[in] float
input value. - y:
[in] float
input value.
float stdlib_base_maxabsf( const float x, const float y );
#include "stdlib/math/base/special/maxabsf.h"
#include <stdlib.h>
#include <stdio.h>
int main( void ) {
float x;
float y;
float v;
int i;
for ( i = 0; i < 100; i++ ) {
x = ( ( (float)rand() / (float)RAND_MAX ) * 1000.0f ) - 500.0f;
y = ( ( (float)rand() / (float)RAND_MAX ) * 1000.0f ) - 500.0f;
v = stdlib_base_maxabsf( x, y );
printf( "x: %f, y: %f, maxabsf(x, y): %f\n", 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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