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expm1
[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]
Compute
exp(x) - 1
.
bash
npm install @stdlib/math-base-special-expm1
javascript
var expm1 = require( '@stdlib/math-base-special-expm1' );
#### expm1( x )
Computes exp(x) - 1
, where exp(x)
is the natural [exponential function][exponential-function].
javascript
var v = expm1( 0.2 );
// returns ~0.221
v = expm1( -9.0 );
// returns ~-1.0
v = expm1( 0.0 );
// returns 0.0
v = expm1( NaN );
// returns NaN
javascript
var randu = require( '@stdlib/random-base-randu' );
var expm1 = require( '@stdlib/math-base-special-expm1' );
var x;
var i;
for ( i = 0; i < 100; i++ ) {
x = (randu()*10.0) - 5.0;
console.log( 'e^%d - 1 = %d', x, expm1( x ) );
}
c
#include "stdlib/math/base/special/expm1.h"
#### stdlib_base_expm1( x )
Computes exp(x) - 1
, where exp(x)
is the natural [exponential function][exponential-function].
c
double out = stdlib_base_expm1( 0.2 );
// returns ~0.221
out = stdlib_base_expm1( -9.0 );
// returns ~-1.0
The function accepts the following arguments:
- x: [in] double
input value.
c
double stdlib_base_expm1( const double x );
c
#include "stdlib/math/base/special/expm1.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 ) - 5.0;
v = stdlib_base_expm1( x );
printf( "e^%lf - 1 = %lf\n", x, v );
}
}
@stdlib/math-base/special/exp
][@stdlib/math/base/special/exp]: natural exponential function.
- [@stdlib/math-base/special/expm1rel
][@stdlib/math/base/special/expm1rel]: relative error exponential.