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@stdlib/math-base-tools-evalrational-compile

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  • License Apache-2.0

Compile a module for evaluating a rational function.

Package Exports

  • @stdlib/math-base-tools-evalrational-compile

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/math-base-tools-evalrational-compile) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

evalrational

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Compile a module for evaluating a rational function.

Installation

npm install @stdlib/math-base-tools-evalrational-compile

Usage

var compile = require( '@stdlib/math-base-tools-evalrational-compile' );

compile( P, Q )

Compiles a module string containing an exported function which evaluates a rational function having coefficients P and Q.

var P = [ 3.0, 2.0, 1.0 ];
var Q = [ -1.0, -2.0, -3.0 ];

var str = compile( P, Q );
// returns <string>

In the example above, the output string would correspond to the following module:

'use strict';

// MAIN //

/**
* Evaluates a rational function, i.e., the ratio of two polynomials described by the coefficients stored in \\(P\\) and \\(Q\\).
*
* ## Notes
*
* -   Coefficients should be sorted in ascending degree.
* -   The implementation uses [Horner's rule][horners-method] for efficient computation.
*
* [horners-method]: https://en.wikipedia.org/wiki/Horner%27s_method
*
*
* @private
* @param {number} x - value at which to evaluate the rational function
* @returns {number} evaluated rational function
*/
function evalrational( x ) {
    var ax;
    var s1;
    var s2;
    if ( x === 0.0 ) {
        return -3.0;
    }
    if ( x < 0.0 ) {
        ax = -x;
    } else {
        ax = x;
    }
    if ( ax <= 1.0 ) {
        s1 = 3.0 + (x * (2.0 + (x * 1.0))); // eslint-disable-line max-len
        s2 = -1.0 + (x * (-2.0 + (x * -3.0))); // eslint-disable-line max-len
    } else {
        x = 1.0 / x;
        s1 = 1.0 + (x * (2.0 + (x * 3.0))); // eslint-disable-line max-len
        s2 = -3.0 + (x * (-2.0 + (x * -1.0))); // eslint-disable-line max-len
    }
    return s1 / s2;
}


// EXPORTS //

module.exports = evalrational;

The coefficients should be ordered in ascending degree, thus matching summation notation.

Notes

  • The function is intended for non-browser environments for the purpose of generating module files.

Examples

var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var Float64Array = require( '@stdlib/array-float64' );
var compile = require( '@stdlib/math-base-tools-evalrational-compile' );

var sign;
var str;
var P;
var Q;
var i;

// Create two arrays of random coefficients...
P = new Float64Array( 10 );
Q = new Float64Array( 10 );
for ( i = 0; i < P.length; i++ ) {
    if ( randu() < 0.5 ) {
        sign = -1.0;
    } else {
        sign = 1.0;
    }
    P[ i ] = sign * round( randu()*100.0 );
    Q[ i ] = sign * round( randu()*100.0 );
}

// Compile a module for evaluating a rational function:
str = compile( P, Q );
console.log( str );

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 © 2016-2021. The Stdlib Authors.