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@stdlib/math-base-special-expm1
Advanced tools
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Compute
exp(x) - 1
.
npm install @stdlib/math-base-special-expm1
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 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 ) );
}
#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:
[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.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.
Copyright © 2016-2024. The Stdlib Authors.
0.2.3 (2024-07-28)
<section class="commits">41d41e9
- test: include trailing newlines in Julia-generated JSON fixtures (by Philipp Burckhardt)9ed7d0e
- chore: add missing trailing newlines (by Philipp Burckhardt)A total of 1 person contributed to this release. Thank you to this contributor:
FAQs
Compute exp(x) - 1.
We found that @stdlib/math-base-special-expm1 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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