@stdlib/math-base-special-log1pmx
v0.2.3
Published
Evaluate ln(1+x) - x.
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log1pmx
Evaluate
ln(1+x) - x
.
Installation
npm install @stdlib/math-base-special-log1pmx
Usage
var log1pmx = require( '@stdlib/math-base-special-log1pmx' );
log1pmx( x )
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
Examples
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 ] ) );
}
C APIs
Usage
#include "stdlib/math/base/special/log1pmx.h"
stdlib_base_log1pmx( x )
Evaluates ln(1+x) - x
.
double out = stdlib_base_log1pmx( 1.1 );
// returns ~-0.358
The function accepts the following arguments:
- x:
[in] double
input value.
double stdlib_base_log1pmx( const double x );
Examples
#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 );
}
}
See Also
@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.
Notice
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.