For a given function, its Taylor series is the “best” polynomial representations of that function. If the function is being evaluated at 0, the Taylor series representation is also called the Maclaurin series. The error is proportional to the first “left-off” term. Also, the series is only a good estimate in a small radius around the point for which it is calculated (e.g. 0 for a Maclaurin series).

Padé approximants estimate functions as the quotient of two polynomials. Specifically, given a Taylor series expansion of a function (T(x)) of order (L + M), there are two polynomials, (P_L(x)) of order (L) and (Q_M(x)) of order (M), such that (), called the Padé approximant of order ([L/M]), “agrees” with the original function in order (L + M). More precisely, given

[ A(x) = _{j=0}^a_j x^j ]

the Padé approximant of order ([L/M]) to (A(x)) has the property that

[ A(x) - = (x^{L + M + 1}) ]

The Padé approximant consistently has a wider radius of convergence than its parent Taylor series, often converging where the Taylor series does not. This makes it very suitable for numerical computation.

With the normalization that the first term of (Q(x)) is always 1, there is a set of linear equations which will generate the unique Padé approximant coefficients. Letting (a_n) be the coefficients for the Taylor series, one can solve:

[ \[\begin{align} &a_0 &= p_0\\ &a_1 + a_0q_1 &= p_1\\ &a_2 + a_1q_1 + a_0q_2 &= p_2\\ &a_3 + a_2q_1 + a_1q_2 + a_0q_3 &= p_3\\ &a_4 + a_3q_1 + a_2q_2 + a_1q_3 + a_0q_4 &= p_4\\ &\vdots&\vdots\\ &a_{L+M} + a_{L+M-1}q_1 + \ldots + a_0q_{L+M} &= p_{L+M} \end{align}\] ]

remembering that all (p_k, k > L) and (q_k, k > M) are 0.

Given integers `L`

and `M`

, and vector `A`

, a vector of Taylor series coefficients, in increasing order and length at least `L + M + 1`

, the `Pade`

function returns a list of two elements, `Px`

and `Qx`

, which are the coefficients of the Padé approximant numerator and denominator respectively, in increasing order.

If you use the package, please cite it as:

Avraham Adler (2015). Pade: Padé Approximant Coefficients. R package version 1.0.3. https://CRAN.R-project.org/package=Pade

A BibTeX entry for LaTeX users is:

```
@Manual{,
title = {Pade: Padé Approximant Coefficients},
author = {Avraham Adler},
year = {2015},
note = {R package version 1.0.3},
url = {https://CRAN.R-project.org/package=Pade},
}
```

Please ensure that all contributions comply with both R and CRAN standards for packages.

This project attempts to follow Semantic Versioning

This project attempts to follow the changelog system at Keep a CHANGELOG

This project intends to have as few dependencies as possible. Please consider that when writing code.

Please review and conform to the current code stylistic choices (e.g. 80 character lines, two-space indentations).

Please provide valid .Rd files and **not** roxygen-style documentation.

Please review the current test suite and supply similar `testthat`

-compatible unit tests for all added functionality.

If you would like to contribute to the project, it may be prudent to first contact the maintainer via email. A request or suggestion may be raised as an issue as well. To supply a pull request (PR), please:

- Fork the project and then clone into your own local repository
- Create a branch in your repository in which you will make your changes
- Push that branch and then create a pull request

At this point, the PR will be discussed and eventually accepted or rejected.