Package Exports
- @stdlib/math-base-special-expm1
- @stdlib/math-base-special-expm1/dist
- @stdlib/math-base-special-expm1/dist/index.js
- @stdlib/math-base-special-expm1/lib/index.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/math-base-special-expm1) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
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expm1
Compute
exp(x) - 1.
Installation
npm install @stdlib/math-base-special-expm1Usage
var expm1 = require( '@stdlib/math-base-special-expm1' );expm1( x )
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 NaNExamples
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 APIs
Usage
#include "stdlib/math/base/special/expm1.h"stdlib_base_expm1( x )
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 ~-1.0The function accepts the following arguments:
- x:
[in] doubleinput value.
double stdlib_base_expm1( const double x );Examples
#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 );
}
}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.
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