Package Exports
- @stdlib/math-base-special-exp10
- @stdlib/math-base-special-exp10/dist
- @stdlib/math-base-special-exp10/dist/index.js
- @stdlib/math-base-special-exp10/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-exp10) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
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exp10
Base
10exponential function.
Installation
npm install @stdlib/math-base-special-exp10Usage
var exp10 = require( '@stdlib/math-base-special-exp10' );exp10( x )
Evaluates the base 10 exponential function.
var v = exp10( 3.0 );
// returns 1000.0
v = exp10( -9.0 );
// returns 1.0e-9
v = exp10( 0.0 );
// returns 1.0
v = exp10( NaN );
// returns NaNExamples
var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var exp10 = require( '@stdlib/math-base-special-exp10' );
var opts = {
'dtype': 'float64'
};
var x = uniform( 100, -50.0, 50.0, opts );
logEachMap( '10^%0.4f = %0.4f', x, exp10 );C APIs
Usage
#include "stdlib/math/base/special/exp10.h"stdlib_base_exp10( x )
Evaluates the base 10 exponential function.
double out = stdlib_base_exp10( 3.0 );
// returns 1000.0
out = stdlib_base_exp10( -9.0 );
// returns 1.0e-9The function accepts the following arguments:
- x:
[in] doubleinput value.
double stdlib_base_exp10( const double x );Examples
#include "stdlib/math/base/special/exp10.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 ) * 100.0 ) - 50.0;
v = stdlib_base_exp10( x );
printf( "10^%lf = %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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