@stdlib/math-base-special-acos
v0.2.3
Published
Compute the arccosine of a double-precision floating-point number.
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acos
Compute the arccosine of a double-precision floating-point number.
Installation
npm install @stdlib/math-base-special-acos
Usage
var acos = require( '@stdlib/math-base-special-acos' );
acos( x )
Computes the arccosine of a double-precision floating-point number (in radians).
var v = acos( 1.0 );
// returns 0.0
v = acos( 0.707 ); // ~pi/4
// returns ~0.7855
v = acos( 0.866 ); // ~pi/6
// returns ~0.5236
v = acos( NaN );
// returns NaN
The domain of x
is restricted to [-1,1]
. If |x| > 1
, the function returns NaN
.
var v = acos( -3.14 );
// returns NaN
Examples
var linspace = require( '@stdlib/array-base-linspace' );
var acos = require( '@stdlib/math-base-special-acos' );
var x = linspace( -1.0, 1.0, 100 );
var i;
for ( i = 0; i < x.length; i++ ) {
console.log( acos( x[ i ] ) );
}
C APIs
Usage
#include "stdlib/math/base/special/acos.h"
stdlib_base_acos( x )
Computes the arccosine of a double-precision floating-point number (in radians).
double out = stdlib_base_acos( 1.0 );
// returns 0.0
out = stdlib_base_acos( 0.707 ); // ~pi/4
// returns ~0.7855
The function accepts the following arguments:
- x:
[in] double
input value (in radians).
double stdlib_base_acos( const double x );
Examples
#include "stdlib/math/base/special/acos.h"
#include <stdio.h>
int main( void ) {
const double x[] = { -1.0, -0.78, -0.56, -0.33, -0.11, 0.11, 0.33, 0.56, 0.78, 1.0 };
double v;
int i;
for ( i = 0; i < 10; i++ ) {
v = stdlib_base_acos( x[ i ] );
printf( "acos(%lf) = %lf\n", x[ i ], v );
}
}
See Also
@stdlib/math-base/special/acosh
: compute the hyperbolic arccosine of a double-precision floating-point number.@stdlib/math-base/special/asin
: compute the arcsine of a double-precision floating-point number.@stdlib/math-base/special/atan
: compute the arctangent of a double-precision floating-point number.
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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Copyright
Copyright © 2016-2024. The Stdlib Authors.