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@stdlib/math-base-special-log1pmx
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Evaluate
ln(1+x) - x
.
npm install @stdlib/math-base-special-log1pmx
var log1pmx = require( '@stdlib/math-base-special-log1pmx' );
Evaluates ln(1+x) - x
.
var v = log1pmx( 1.1 );
// returns ~-0.358
v = log1pmx( 0.99 );
// returns ~-0.302
v = log1pmx( -0.99 );
// returns ~-3.615
v = log1pmx( -1.1 );
// returns NaN
v = log1pmx( NaN );
// returns NaN
var incrspace = require( '@stdlib/array-base-incrspace' );
var log1pmx = require( '@stdlib/math-base-special-log1pmx' );
var x = incrspace( 0.0, 10.0, 0.01 );
var i;
for ( i = 0; i < x.length; i++ ) {
console.log( 'x: %d, f(x): %d', x[ i ], log1pmx( x[ i ] ) );
}
#include "stdlib/math/base/special/log1pmx.h"
Evaluates ln(1+x) - x
.
double out = stdlib_base_log1pmx( 1.1 );
// returns ~-0.358
The function accepts the following arguments:
[in] double
input value.double stdlib_base_log1pmx( const double x );
#include "stdlib/math/base/special/log1pmx.h"
#include <stdlib.h>
#include <stdio.h>
int main( void ) {
double x;
double v;
int i;
for ( i = 0; i < 100; i++ ) {
x = ( (double)rand() / (double)RAND_MAX ) * 10.0;
v = stdlib_base_log1pmx( x );
printf( "x: %lf, f(x): %lf\n", x, v );
}
}
@stdlib/math-base/special/ln
: evaluate the natural logarithm of a double-precision floating-point number.@stdlib/math-base/special/log1p
: evaluate the natural logarithm of 1+x.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.
Copyright © 2016-2024. The Stdlib Authors.
0.2.3 (2024-07-28)
<section class="commits">2777e4b
- bench: resolve lint errors in benchmarks (by Athan Reines)A total of 1 person contributed to this release. Thank you to this contributor:
FAQs
Evaluate ln(1+x) - x.
The npm package @stdlib/math-base-special-log1pmx receives a total of 34,933 weekly downloads. As such, @stdlib/math-base-special-log1pmx popularity was classified as popular.
We found that @stdlib/math-base-special-log1pmx demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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