Binary logarithm (base 2).
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> Evaluate the [binary logarithm][binary-logarithm].
The [binary logarithm][binary-logarithm] (logarithm with base 2) is defined for any positive real number as
``bash`
npm install @stdlib/math-base-special-log2
`javascript`
var log2 = require( '@stdlib/math-base-special-log2' );
#### log2( x )
Evaluates the [binary logarithm][binary-logarithm].
`javascript
var v = log2( 4.0 );
// returns 2.0
v = log2( 0.0 );
// returns -Infinity
v = log2( Infinity );
// returns Infinity
v = log2( NaN );
// returns NaN
`
For negative numbers, the [binary logarithm][binary-logarithm] is not defined.
`javascript`
var v = log2( -4.0 );
// returns NaN
`javascript
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`
#include "stdlib/math/base/special/log2.h"
#### stdlib_base_log2( x )
Evaluates the binary logarithm.
`c`
double out = stdlib_base_log2( 4.0 );
// returns 2.0
The function accepts the following arguments:
- x: [in] double input value.
`c`
double stdlib_base_log2( const double x );
`c
#include "stdlib/math/base/special/log2.h"
#include
#include
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 );
}
}
`
*
- [@stdlib/math-base/special/exp2][@stdlib/math/base/special/exp2]: base 2 exponential function.
- [@stdlib/math-base/special/ln][@stdlib/math/base/special/ln]: evaluate the natural logarithm of a double-precision floating-point number.
- [@stdlib/math-base/special/log][@stdlib/math/base/special/log]: compute the base b logarithm of a double-precision floating-point number.
*
This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].
#### Community
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---
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[binary-logarithm]: https://en.wikipedia.org/wiki/Binary_logarithm
[@stdlib/math/base/special/exp2]: https://www.npmjs.com/package/@stdlib/math-base-special-exp2
[@stdlib/math/base/special/ln]: https://www.npmjs.com/package/@stdlib/math-base-special-ln
[@stdlib/math/base/special/log]: https://www.npmjs.com/package/@stdlib/math-base-special-log