Package Exports
- @stdlib/math-base-special-ramp
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Readme
Ramp Function
Evaluate the ramp function.
The ramp function is defined as
or, alternatively, in terms of the max
function
Installation
npm install @stdlib/math-base-special-ramp
Usage
var ramp = require( '@stdlib/math-base-special-ramp' );
ramp( x )
Evaluates the ramp function.
var v = ramp( 3.14 );
// returns 3.14
v = ramp( -3.14 );
// returns 0.0
v = ramp( NaN );
// returns NaN
Examples
var linspace = require( '@stdlib/array-linspace' );
var ramp = require( '@stdlib/math-base-special-ramp' );
var x = linspace( -10.0, 10.0, 101 );
var i;
for ( i = 0; i < x.length; i++ ) {
console.log( 'R(%d) = %d', x[ i ], ramp( x[ i ] ) );
}
C APIs
Installation
npm install @stdlib/math-base-special-ramp
Usage
#include "stdlib/math/base/special/ramp.h"
stdlib_base_ramp( x )
Evaluates the ramp function.
double y = stdlib_base_ramp( 3.0 );
// returns 3.0
The function accepts the following arguments:
- x:
[in] double
input value.
double stdlib_base_ramp( const double x );
Examples
#include "stdlib/math/base/special/ramp.h"
#include <stdio.h>
int main() {
double x[] = { 3.14, -3.14, 0.0, 0.0/0.0 };
double y;
int i;
for ( i = 0; i < 4; i++ ) {
y = stdlib_base_ramp( x[ i ] );
printf( "R(%lf) = %lf\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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2021. The Stdlib Authors.