@stdlib/math-base-special-powm1
v0.3.1
Published
Evaluate bˣ - 1.
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powm1
Evaluate
bˣ - 1
.
When b
is close to 1
and/or x
is small, this implementation is more accurate than naively computing bˣ
minus 1
.
Installation
npm install @stdlib/math-base-special-powm1
Usage
var powm1 = require( '@stdlib/math-base-special-powm1' );
powm1( b, x )
Evaluates bˣ - 1
.
var y = powm1( 2.0, 3.0 );
// returns 7.0
y = powm1( 4.0, 0.5 );
// returns 1.0
y = powm1( 0.0, 100.0 );
// returns -1.0
y = powm1( 100.0, 0.0 );
// returns 0.0
y = powm1( 0.0, 0.0 );
// returns 0.0
y = powm1( 3.141592653589793, 5.0 );
// returns ~305.0197
y = powm1( NaN, 3.0 );
// returns NaN
y = powm1( 5.0, NaN );
// returns NaN
Examples
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var powm1 = require( '@stdlib/math-base-special-powm1' );
var b;
var x;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
b = round( randu()*10.0 );
x = round( randu()*10.0 ) - 5.0;
y = powm1( b, x );
console.log( '%d^%d - 1 = %d', b, x, y );
}
C APIs
Usage
#include "stdlib/math/base/special/powm1.h"
stdlib_base_powm1( base, exponent )
Evaluates bˣ - 1
.
double out = stdlib_base_powm1( 3.141592653589793, 5.0 );
// returns ~305.0197
out = stdlib_base_powm1( 4.0, 0.5 );
// returns 1.0
The function accepts the following arguments:
- base:
[in] double
base. - exponent:
[in] double
exponent.
double stdlib_base_powm1( const double base, const double exponent );
Examples
#include "stdlib/math/base/special/powm1.h"
#include <stdlib.h>
#include <stdio.h>
int main( void ) {
double out;
double b;
double x;
int i;
for ( i = 0; i < 100; i++ ) {
b = ( ( (double)rand() / (double)RAND_MAX ) * 10.0 );
x = ( ( (double)rand() / (double)RAND_MAX ) * 10.0 ) - 5.0;
out = stdlib_base_powm1( b, x );
printf( "powm1(%lf, %lf) = %lf\n", b, x, out );
}
}
See Also
@stdlib/math-base/special/pow
: exponential function.
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.
Community
Copyright
Copyright © 2016-2024. The Stdlib Authors.