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compute-polynomial
Advanced tools
Evaluates a polynomial.
$ npm install compute-polynomial
For use in the browser, use browserify.
To use the module,
var polyval = require( 'compute-polynomial' );
The method requires two input arguments: an array
of coefficients and either a single numeric
value or an array
of values at which to evaluate the polynomial.
The coefficients should be ordered in descending degree. For example, for a polynomial
a_nx^n + a_(n-1)x^(n-1) + ... + a_1x^1 + a_0x^0
the coefficients would be
[a_n, a_(n-1),..., a_1, a_0]
Consider the polynomial 4x^3 + 2x^2 + 6x - 17
. To evaluate the polynomial at a single value,
polyval( [ 4, 2, 6, -17 ], 10 );
// returns 4243
To evaluate the polynomial at multiple values,
polyval( [ 4, 2, 6, -17 ], [ 10, -3 ] );
// returns [ 4243, -125 ]
var coef = new Array( 25 ),
sign;
for ( var i = 0; i < coef.length; i++ ) {
sign = 1;
if ( Math.random()-0.5 < 0 ) {
sign = -1;
}
coef[ i ] = sign * Math.round( Math.random()*i );
}
// Evaluate the polynomial at a single value:
console.log( polyval( coef, 10 ) );
// Evaluate the polynomial at multiple values:
console.log( polyval( coef, [ 10, -10 ] ) );
To run the example code from the top-level application directory,
$ node ./examples/index.js
This method implements Horner's rule to achieve efficient computation.
Unit tests use the Mocha test framework with Chai assertions. To run the tests, execute the following command in the top-level application directory:
$ make test
All new feature development should have corresponding unit tests to validate correct functionality.
This repository uses Istanbul as its code coverage tool. To generate a test coverage report, execute the following command in the top-level application directory:
$ make test-cov
Istanbul creates a ./reports/coverage
directory. To access an HTML version of the report,
$ open reports/coverage/lcov-report/index.html
Copyright © 2014. Athan Reines.
FAQs
Evaluates a polynomial.
The npm package compute-polynomial receives a total of 213 weekly downloads. As such, compute-polynomial popularity was classified as not popular.
We found that compute-polynomial demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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