Package Exports
- @stdlib/math-base-special-xlog1py
- @stdlib/math-base-special-xlog1py/dist
- @stdlib/math-base-special-xlog1py/dist/index.js
- @stdlib/math-base-special-xlog1py/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-xlog1py) 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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xlog1py
Compute
x * ln(y+1)so that the result is0ifx = 0.
Installation
npm install @stdlib/math-base-special-xlog1pyUsage
var xlog1py = require( '@stdlib/math-base-special-xlog1py' );xlog1py( x, y )
Computes x * ln(y+1) so that the result is 0 if x = 0.
var out = xlog1py( 3.0, 2.0 );
// returns ~3.296
out = xlog1py( 1.5, 5.9 );
// returns ~2.897
out = xlog1py( 0.9, 1.0 );
// returns ~0.624
out = xlog1py( 1.0, 0.0 );
// returns 0.0
out = xlog1py( 0.0, -2.0 );
// returns 0.0
out = xlog1py( 1.5, NaN );
// returns NaN
out = xlog1py( 0.0, NaN );
// returns NaN
out = xlog1py( NaN, 2.3 );
// returns NaNExamples
var randu = require( '@stdlib/random-base-randu' );
var xlog1py = require( '@stdlib/math-base-special-xlog1py' );
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( 'xlog1py(%d, %d) = %d', x, y, xlog1py( x, y ) );
}C APIs
Usage
#include "stdlib/math/base/special/xlog1py.h"stdlib_base_xlog1py( x, y )
Computes x * ln(y+1) so that the result is 0 if x = 0.
double v = stdlib_base_xlog1py( 3.0, 2.0 );
// returns ~3.296The function accepts the following arguments:
- x:
[in] doubleinput value. - y:
[in] doubleinput value.
double stdlib_base_xlog1py( const double x, const double y );Examples
#include "stdlib/math/base/special/xlog1py.h"
#include <stdio.h>
#include <stdlib.h>
int main( void ) {
double out;
double x;
double y;
int i;
for ( i = 0; i < 100; i++ ) {
x = ( (double)rand() / (double)RAND_MAX ) * 100.0;
y = ( (double)rand() / (double)RAND_MAX ) * 5.0;
out = stdlib_base_xlog1py( x, y );
printf( "xlog1py(%lf, %lf) = %lf\n", x, y, out );
}
}Notice
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For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
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License
See LICENSE.
Copyright
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