@stdlib/math-base-special-rampf

Evaluate the ramp function (single-precision).

Usage no npm install needed!

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README

Ramp Function

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Evaluate the ramp function.

The ramp function is defined as

Ramp function.

or, alternatively, in terms of the max function

Ramp function alternative definition.

Installation

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

Usage

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

rampf( x )

Evaluates the ramp function.

var v = rampf( 3.14 );
// returns 3.14

v = rampf( -3.14 );
// returns 0.0

v = rampf( NaN );
// returns NaN

Examples

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

var x = linspace( -10.0, 10.0, 101 );
var i;

for ( i = 0; i < x.length; i++ ) {
    console.log( 'R(%d) = %d', x[ i ], rampf( x[ i ] ) );
}

C APIs

Installation

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

Usage

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

stdlib_base_rampf( x )

Evaluates the ramp function (single-precision).

float y = stdlib_base_rampf( 3.0f );
// returns 3.0f

The function accepts the following arguments:

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

Examples

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

int main() {
    float x[] = { 3.14f, -3.14f, 0.0f, 0.0f/0.0f };

    float y;
    int i;
    for ( i = 0; i < 4; i++ ) {
        y = stdlib_base_rampf( x[ i ] );
        printf( "R(%f) = %f\n", x[ i ], y );
    }
}

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 © 2016-2021. The Stdlib Authors.