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Evaluate the natural logarithm of
1+x.
npm install @stdlib/math-base-special-log1pvar 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 NaNFor x < -1, the function returns NaN, as the natural logarithm is not defined for negative numbers.
var v = log1p( -2.0 );
// returns NaNvar 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 -InfinityThe function accepts the following arguments:
-
x:
[in] doubleinput 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: baseblogarithm.
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.
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