0.0.1 • Published 28 days ago

@stdlib/math-base-special-asecdf v0.0.1

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License
Apache-2.0
Repository
github
Last release
28 days ago

asecdf

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Compute the arcsecant (in degrees) of a single-precision floating-point number.

Installation

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

Usage

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

asecdf( x )

Computes the arcsecant (in degrees) of a single-precision floating-point number.

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

var v = asecdf( Infinity );
// returns 90.0

v = asecdf( 2.0 * sqrtf( 3.0 ) / 3.0 );
// returns ~30.0

v = asecdf( sqrtf( 2.0 ) );
// returns 45.0

v = asecdf( 2.0 );
// returns ~60.0

v = asecdf( 1.0 );
// returns 0.0

v = asecdf( NaN );
// returns NaN

The domain of x is restricted to the intervals [-inf, -1] and [1, inf]. For x outside of these intervals, the function returns NaN.

var v = asecdf( -0.5 );
// returns NaN

v = asecdf( 0.5 );
// returns NaN

Examples

var linspace = require( '@stdlib/array-base-linspace' );
var asecdf = require( '@stdlib/math-base-special-asecdf' );

var x = linspace( 1.1, 5.1, 100 );

var i;
for ( i = 0; i < x.length; i++ ) {
    console.log( asecdf( x[ i ] ) );
}

C APIs

Usage

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

stdlib_base_asecdf( x )

Computes the arcsecant (in degrees) of a single-precision floating-point number.

float out = stdlib_base_asecdf( 1.0f );
// returns 0.0f

out = stdlib_base_asecdf( 2.0f );
// returns ~60.0f

The function accepts the following arguments:

  • x: [in] float input value.
float stdlib_base_asecdf( const float x );

Examples

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

int main( void ) {
    const float x[] = { 1.1f, 1.55f, 1.99f, 2.44f, 2.88f, 3.32f, 3.77f, 4.21f, 4.66f, 5.1f };

    float v;
    int i;
    for ( i = 0; i < 10; i++ ) {
        v = stdlib_base_asecdf( x[ i ] );
        printf( "acscd(%f) = %f\n", x[ i ], 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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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.