@stdlib/math-base-special-acovercos
v0.2.4
Published
Compute the inverse coversed cosine.
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Arccovercosine
Compute the inverse coversed cosine.
The inverse coversed cosine is defined as
Installation
npm install @stdlib/math-base-special-acovercos
Usage
var acovercos = require( '@stdlib/math-base-special-acovercos' );
acovercos( x )
Computes the inverse coversed cosine.
var v = acovercos( 0.0 );
// returns ~1.5708
v = acovercos( -3.141592653589793/2.0 );
// returns ~-0.6075
v = acovercos( -3.141592653589793/6.0 );
// returns ~0.4966
If x < -2
, x > 0
, or x
is NaN
, the function returns NaN
.
var v = acovercos( 1.0 );
// returns NaN
v = acovercos( -3.14 );
// returns NaN
v = acovercos( NaN );
// returns NaN
Examples
var linspace = require( '@stdlib/array-base-linspace' );
var acovercos = require( '@stdlib/math-base-special-acovercos' );
var x = linspace( -2.0, 0.0, 100 );
var i;
for ( i = 0; i < x.length; i++ ) {
console.log( acovercos( x[ i ] ) );
}
C APIs
Usage
#include "stdlib/math/base/special/acovercos.h"
stdlib_base_acovercos( x )
Computes the inverse coversed cosine of a double-precision floating-point number.
double out = stdlib_base_acovercos( -3.141592653589793/2.0 );
// returns ~-0.6075
The function accepts the following arguments:
- x:
[in] double
input value.
double stdlib_base_acovercos( const double x );
Examples
#include "stdlib/math/base/special/acovercos.h"
#include <stdio.h>
int main( void ) {
const double x[] = { -2.0, -1.80, -1.78, -1.67, -0.56, -0.27, -1.67, -0.78, -1.89, 0.0 };
double v;
int i;
for ( i = 0; i < 10; i++ ) {
v = stdlib_base_acovercos( x[ i ] );
printf( "acovercos(%lf) = %lf\n", x[ i ], v );
}
}
See Also
@stdlib/math-base/special/acoversin
: compute the inverse coversed sine.@stdlib/math-base/special/avercos
: compute the inverse versed cosine.@stdlib/math-base/special/covercos
: compute the coversed cosine.@stdlib/math-base/special/vercos
: compute the versed cosine.
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.