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@stdlib/math-base-special-log1p
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We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
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Evaluate the natural logarithm of
1+x
.
npm install @stdlib/math-base-special-log1p
var log1p = require( '@stdlib/math-base-special-log1p' );
Evaluates the natural logarithm of 1+x
.
var v = log1p( 4.0 );
// returns ~1.609
v = log1p( -1.0 );
// returns -Infinity
v = log1p( Infinity );
// returns Infinity
v = log1p( 0.0 );
// returns 0.0
v = log1p( -0.0 );
// returns -0.0
v = log1p( NaN );
// returns NaN
For x < -1
, the function returns NaN
, as the natural logarithm is not defined for negative numbers.
var v = log1p( -2.0 );
// returns NaN
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var log1p = require( '@stdlib/math-base-special-log1p' );
var x;
var i;
for ( i = 0; i < 100; i++ ) {
x = round( randu() * 100.0 );
console.log( log1p( x ) );
}
#include "stdlib/math/base/special/log1p.h"
Evaluates the natural logarithm of 1+x
.
double out = stdlib_base_log1p( 4.0 );
// returns ~1.609
out = stdlib_base_log1p( -1.0 );
// returns -Infinity
The function accepts the following arguments:
[in] double
input value.double stdlib_base_log1p( const double x );
#include "stdlib/math/base/special/log1p.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 ) * 100.0;
v = stdlib_base_log1p( x );
printf( "log1p(%lf) = %lf\n", x, v );
}
}
@stdlib/math-base/special/ln
: evaluate the natural logarithm of a double-precision floating-point number.@stdlib/math-base/special/log
: base b
logarithm.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.
Copyright © 2016-2024. The Stdlib Authors.
FAQs
Evaluate the natural logarithm of 1+x.
The npm package @stdlib/math-base-special-log1p receives a total of 45,286 weekly downloads. As such, @stdlib/math-base-special-log1p popularity was classified as popular.
We found that @stdlib/math-base-special-log1p demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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