@stdlib/math-base-tools-fibpoly
v0.2.2
Published
Evaluate a Fibonacci polynomial.
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Fibonacci Polynomial
Evaluate a Fibonacci polynomial.
A Fibonacci polynomial is expressed according to the following recurrence relation
Alternatively, if F(n,k)
is the coefficient of x^k
in F_n(x)
, then
where
We can extend Fibonacci polynomials to negative n
using the identity
Installation
npm install @stdlib/math-base-tools-fibpoly
Usage
var fibpoly = require( '@stdlib/math-base-tools-fibpoly' );
fibpoly( n, x )
Evaluates a Fibonacci polynomial at a value x
.
var v = fibpoly( 5, 2.0 ); // => 2^4 + 3*2^2 + 1
// returns 29.0
fibpoly.factory( n )
Uses code generation to generate a function
for evaluating a Fibonacci polynomial.
var polyval = fibpoly.factory( 5 );
var v = polyval( 1.0 ); // => 1^4 + 3*1^2 + 1
// returns 5.0
v = polyval( 2.0 ); // => 2^4 + 3*2^2 + 1
// returns 29.0
Notes
- For hot code paths, a compiled function will be more performant than
fibpoly()
. - While code generation can boost performance, its use may be problematic in browser contexts enforcing a strict content security policy (CSP). If running in or targeting an environment with a CSP, avoid using code generation.
Examples
var fibpoly = require( '@stdlib/math-base-tools-fibpoly' );
var i;
// Compute the negaFibonacci and Fibonacci numbers...
for ( i = -77; i < 78; i++ ) {
console.log( 'F_%d = %d', i, fibpoly( i, 1.0 ) );
}
See Also
@stdlib/math-base/tools/evalpoly
: evaluate a polynomial using double-precision floating-point arithmetic.@stdlib/math-base/tools/lucaspoly
: evaluate a Lucas polynomial.
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 © 2016-2024. The Stdlib Authors.