Compute
exp(x) - 1
.
var expm1 = require( '@stdlib/math/base/special/expm1' );
Computes exp(x) - 1
, where exp(x)
is the natural exponential function.
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
var uniform = require( '@stdlib/random/array/uniform' );
var logEachMap = require( '@stdlib/console/log-each-map' );
var expm1 = require( '@stdlib/math/base/special/expm1' );
var opts = {
'dtype': 'float64'
};
var x = uniform( 100, -5.0, 5.0, opts );
logEachMap( 'e^%0.4f - 1 = %0.4f', x, expm1 );
#include "stdlib/math/base/special/expm1.h"
Computes exp(x) - 1
, where exp(x)
is the natural exponential function.
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.
double stdlib_base_expm1( const double x );
#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
: natural exponential function.@stdlib/math/base/special/expm1rel
: relative error exponential.