SpectralKit.jl

Building blocks of spectral methods for Julia.

Introduction

Mostly useful for algorithms along the lines of

Boyd, John P. Chebyshev and Fourier spectral methods. 2001.

The aim is to provide simple, well-tested, robust, and fast building blocks for spectral algorithms, which can be easily combined into algorithms.

At the moment, the package API is experimental and subject to change.

Pretty pictures

Some examples generated this library. Circles mark values at the limit, shifted horizontally when this is needed to avoid overlap. Infinite limits shown at finite values, so of course they don't match (this is a visual check of continuity, naturally it is unit tested).

Chebyshev polynomials and their derivatives

Chebyshev rational functions on [0,∞)

Up close, you can see the oscillation.

Let's zoom out a bit to see convergence to 0 at ∞.

Derivatives die out faster.

Chebyshev rational functions on (-∞,∞)

Up close, you can see the oscillation.

Let's zoom out a bit to see convergence at -∞ and ∞.

Derivatives die out slower than for the [0,∞) transformation.