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Evaluate the natural logarithm of a double-precision floating-point number.
npm install @stdlib/math-base-special-ln
var ln = require( '@stdlib/math-base-special-ln' );
Evaluates the natural logarithm of a double-precision floating-point number.
var v = ln( 4.0 );
// returns ~1.386
v = ln( 0.0 );
// returns -Infinity
v = ln( Infinity );
// returns Infinity
v = ln( NaN );
// returns NaN
For negative numbers, the natural logarithm is not defined.
var v = ln( -4.0 );
// returns NaN
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var ln = require( '@stdlib/math-base-special-ln' );
var x;
var i;
for ( i = 0; i < 100; i++ ) {
x = round( randu() * 100.0 );
console.log( 'ln(%d) = %d', x, ln( x ) );
}
#include "stdlib/math/base/special/ln.h"
Evaluates the natural logarithm of a double-precision floating-point number.
double v = stdlib_base_ln( 2.0 );
// returns ~0.693
The function accepts the following arguments:
-
x:
[in] double
input value.
double stdlib_base_ln( const double x );
#include "stdlib/math/base/special/ln.h"
#include <stdlib.h>
#include <stdio.h>
int main( void ) {
double out;
double x;
int i;
for ( i = 0; i < 100; i++ ) {
x = ( (double)rand() / (double)RAND_MAX ) * 100.0;
out = stdlib_base_ln( x );
printf( "ln(%lf) = %lf\n", x, out );
}
}
-
@stdlib/math-base/special/exp
: natural exponential function. -
@stdlib/math-base/special/log10
: common logarithm (base ten). -
@stdlib/math-base/special/log1p
: evaluate the natural logarithm of 1+x. -
@stdlib/math-base/special/log2
: binary logarithm (base 2).
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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