kernelSinf

Compute the sine of a number on [-π/4, π/4] in single-precision floating-point format.

Installation

npm install @stdlib/math-base-special-kernel-sinf

Usage

var kernelSinf = require( '@stdlib/math-base-special-kernel-sinf' );

kernelSinf( x )

Computes the sine of a number on [-π/4, π/4] in single-precision floating-point format.

var v = kernelSinf( 0.0 );
// returns ~0.0

v = kernelSinf( 3.141592653589793/6.0 );
// returns ~0.5

v = kernelSinf( 0.619 );
// returns ~0.580

v = kernelSinf( NaN );
// returns NaN

Examples

var linspace = require( '@stdlib/array-base-linspace' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var PI = require( '@stdlib/constants-float64-pi' );
var kernelSinf = require( '@stdlib/math-base-special-kernel-sinf' );

var x = linspace( -PI/4.0, PI/4.0, 100 );

logEachMap( 'kernelSinf(%0.4f) = %0.4f', x, kernelSinf );

C APIs

Usage

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

stdlib_base_kernel_sinf( x )

Computes the sine of a number on [-π/4, π/4] in single-precision floating-point format.

float v = stdlib_base_kernel_sinf( 0.0 );
// returns ~0.0f

v = stdlib_base_kernel_sinf( 3.141592653589793/6.0 );
// returns ~0.5f

The function accepts the following arguments:

• x: [in] double input value (in radians, assumed to be bounded by ~pi/4 in magnitude).

float stdlib_base_kernel_sinf( const double x );

Examples

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

int main( void ) {
    const double x[] = { -0.7853981633974483, -0.6108652381980153, -0.4363323129985824, -0.26179938779914946, -0.08726646259971649, 0.08726646259971649, 0.26179938779914935, 0.43633231299858233, 0.6108652381980153, 0.7853981633974483 };

    float out;
    int i;
    for ( i = 0; i < 10; i++ ) {
        out = stdlib_base_kernel_sinf( x[ i ] );
        printf( "kernelSinf(%lf) = %f\n", x[ i ], out );
    }
}

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

Copyright

Copyright © 2016-2026. The Stdlib Authors.