0.2.1 • Published 2 months ago

@stdlib/math-base-special-abs2 v0.2.1

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License
Apache-2.0
Repository
github
Last release
2 months ago

abs2

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Compute the squared absolute value of a double-precision floating-point number.

Installation

npm install @stdlib/math-base-special-abs2

Usage

var abs2 = require( '@stdlib/math-base-special-abs2' );

abs2( x )

Computes the squared absolute value of a double-precision floating-point number.

var v = abs2( -1.0 );
// returns 1.0

v = abs2( 2.0 );
// returns 4.0

v = abs2( 0.0 );
// returns 0.0

v = abs2( -0.0 );
// returns 0.0

v = abs2( NaN );
// returns NaN

Examples

var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var abs2 = require( '@stdlib/math-base-special-abs2' );

var x;
var i;

for ( i = 0; i < 100; i++ ) {
    x = round( randu() * 100.0 ) - 50.0;
    console.log( 'abs2(%d) = %d', x, abs2( x ) );
}

C APIs

Usage

#include "stdlib/math/base/special/abs2.h"

stdlib_base_abs2( x )

Computes the squared absolute value of a double-precision floating-point number.

double y = stdlib_base_abs2( -5.0 );
// returns 25.0

The function accepts the following arguments:

  • x: [in] double input value.
double stdlib_base_abs2( const double x );

Examples

#include "stdlib/math/base/special/abs2.h"
#include <stdio.h>

int main( void ) {
    const double x[] = { 3.14, -3.14, 0.0, 0.0/0.0 };

    double y;
    int i;
    for ( i = 0; i < 4; i++ ) {
        y = stdlib_base_abs2( x[ i ] );
        printf( "abs2(%lf) = %lf\n", x[ i ], y );
    }
}

See Also


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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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.