@stdlib/math-base-special-xlogyf
v0.1.1
Published
Compute `x * ln(y)` so that the result is `0` if `x = 0` for single-precision floating-point numbers `x` and `y`.
Readme
xlogyf
Compute
x * ln(y)so that the result is0ifx = 0for single-precision floating-point numbersxandy.
Installation
npm install @stdlib/math-base-special-xlogyfUsage
var xlogyf = require( '@stdlib/math-base-special-xlogyf' );xlogyf( x, y )
Computes x * ln(y) so that the result is 0 if x = 0 for single-precision floating-point numbers x and y.
var out = xlogyf( 3.0, 2.0 );
// returns ~2.079
out = xlogyf( 1.5, 5.9 );
// returns ~2.662
out = xlogyf( 0.9, 1.0 );
// returns 0.0
out = xlogyf( 0.0, -2.0 );
// returns 0.0
out = xlogyf( 1.5, NaN );
// returns NaN
out = xlogyf( 0.0, NaN );
// returns NaN
out = xlogyf( NaN, 2.3 );
// returns NaNExamples
var randu = require( '@stdlib/random-base-randu' );
var xlogyf = require( '@stdlib/math-base-special-xlogyf' );
var x;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
x = randu();
if ( x < 0.5 ) {
x = 0.0;
}
y = ( randu() * 20.0 ) - 5.0;
console.log( 'xlogyf(%d, %d) = %d', x, y, xlogyf( x, y ) );
}C APIs
Usage
#include "stdlib/math/base/special/xlogyf.h"stdlib_base_xlogyf( x, y )
Computes x * ln(y) so that the result is 0 if x = 0 for single-precision floating-point numbers x and y.
float v = stdlib_base_xlogyf( 3.0f, 2.0f );
// returns ~2.079fThe function accepts the following arguments:
- x:
[in] floatinput value. - y:
[in] floatinput value.
float stdlib_base_xlogyf( const float x, const float y );Examples
#include "stdlib/math/base/special/xlogyf.h"
#include <stdio.h>
#include <stdlib.h>
int main( void ) {
float out;
float x;
float y;
int i;
for ( i = 0; i < 100; i++ ) {
x = ( (float)rand() / (float)RAND_MAX ) * 100.0f;
y = ( (float)rand() / (float)RAND_MAX ) * 5.0f;
out = stdlib_base_xlogyf( x, y );
printf( "xlogyf(%f, %f) = %f\n", x, y, out );
}
}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.
