@stdlib/math-base-special-log1pexp NPM

log1pexp

$NPM version$ $Build Status$ $Coverage Status$

Evaluates the natural logarithm of 1+exp(x).

Installation

npm install @stdlib/math-base-special-log1pexp

Usage

var log1pexp = require( '@stdlib/math-base-special-log1pexp' );

log1pexp( x )

Evaluates the natural logarithm of 1+exp(x).

var y = log1pexp( -10.0 );
// returns ~0.000045

y = log1pexp( 0.0 );
// returns ~0.693147

y = log1pexp( 5.0 );
// returns ~5.006715

y = log1pexp( 34.0 );
// returns 34.0

y = log1pexp( NaN );
// returns NaN

Examples

var incrspace = require( '@stdlib/array-base-incrspace' );
var log1pexp = require( '@stdlib/math-base-special-log1pexp' );

var x = incrspace( -10.0, 10.0, 0.01 );

var i;
for ( i = 0; i < x.length; i++ ) {
    console.log( 'x: %d, f(x): %d', x[ i ], log1pexp( x[ i ] ) );
}

C APIs

Usage

#include "stdlib/math/base/special/log1pexp.h"

stdlib_base_log1pexp( x )

Evaluates the natural logarithm of 1+exp(x).

double out = stdlib_base_log1pexp( 5.0 );
// returns ~5.006715

out = stdlib_base_log1pexp( 34.0 );
// returns 34.0

The function accepts the following arguments:

x: [in] double input value.

double stdlib_base_log1pexp( const double x );

Examples

#include "stdlib/math/base/special/log1pexp.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 ) * 20.0 ) - 10.0;
        v = stdlib_base_log1pexp( x );
        printf( "x: %lf, f(x): %lf\n", x, v );
    }
}

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.