Package Exports
- @stdlib/math-base-special-log2
- @stdlib/math-base-special-log2/dist
- @stdlib/math-base-special-log2/dist/index.js
- @stdlib/math-base-special-log2/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-log2) 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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Binary Logarithm
Evaluate the binary logarithm.
The binary logarithm (logarithm with base 2) is defined for any positive real number as
Installation
npm install @stdlib/math-base-special-log2Usage
var log2 = require( '@stdlib/math-base-special-log2' );log2( x )
Evaluates the binary logarithm.
var v = log2( 4.0 );
// returns 2.0
v = log2( 0.0 );
// returns -Infinity
v = log2( Infinity );
// returns Infinity
v = log2( NaN );
// returns NaNFor negative numbers, the binary logarithm is not defined.
var v = log2( -4.0 );
// returns NaNExamples
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var log2 = require( '@stdlib/math-base-special-log2' );
var opts = {
'dtype': 'float64'
};
var x = discreteUniform( 100, 0, 100, opts );
logEachMap( 'log2(%d) = %0.4f', x, log2 );C APIs
Usage
#include "stdlib/math/base/special/log2.h"stdlib_base_log2( x )
Evaluates the binary logarithm.
double out = stdlib_base_log2( 4.0 );
// returns 2.0The function accepts the following arguments:
- x:
[in] doubleinput value.
double stdlib_base_log2( const double x );Examples
#include "stdlib/math/base/special/log2.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 );
v = stdlib_base_log2( x );
printf( "log2(%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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