Kernel Tangent
Compute the tangent of a number on [-π/4, π/4]
.
Installation
npm install @stdlib/math-base-special-kernel-tan
Usage
var kernelTan = require( '@stdlib/math-base-special-kernel-tan' );
kernelTan( x, y, k )
Computes the tangent of a number
on [-π/4, π/4]
. For increased accuracy, the number for which the tangent should be evaluated can be supplied as a double-double number (i.e., a non-evaluated sum of two double-precision floating-point numbers x
and y
).
var out = kernelTan( 3.141592653589793/4.0, 0.0, 1 );
out = kernelTan( 3.141592653589793/6.0, 0.0, 1 );
out = kernelTan( 0.664, 5.288e-17, 1 );
If k = 1
, the function returns tan(x+y)
. To return the negative inverse -1/tan(x+y)
, set k = -1
.
var out = kernelTan( 3.141592653589793/4.0, 0.0, -1 );
If either x
or y
is NaN
, the function returns NaN
.
var out = kernelTan( NaN, 0.0, 1 );
out = kernelTan( 3.0, NaN, 1 );
out = kernelTan( NaN, NaN, 1 );
Examples
var linspace = require( '@stdlib/array-linspace' );
var binomial = require( '@stdlib/random-base-binomial' ).factory;
var PI = require( '@stdlib/constants-float64-pi' );
var kernelTan = require( '@stdlib/math-base-special-kernel-tan' );
var x = linspace( -PI/4.0, PI/4.0, 100 );
var rbinom = binomial( 1, 0.5 );
var descr;
var i;
var k;
for ( i = 0; i < x.length; i++ ) {
k = rbinom();
descr = ( k === 1 ) ? 'tan(%d) = %d' : '-1/tan(%d) = %d';
console.log( descr, x[ i ], kernelTan( x[ i ], 0.0, k ) );
}
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.
License
See LICENSE.
Copyright
Copyright © 2016-2021. The Stdlib Authors.
0.0.3 (2021-06-27)
No changes reported for this release.
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