ExponentialAction.jl

Compute the action of the matrix exponential
Author sethaxen
Popularity
4 Stars
Updated Last
1 Year Ago
Started In
January 2021

ExponentialAction

Build Status Coverage Code Style: Blue ColPrac: Contributor's Guide on Collaborative Practices for Community Packages

ExponentialAction is a lightweight package that implements the action of the Matrix exponential using the algorithm of Al-Mohy and Higham1.

The API of this package is a single function expv(t, A, B) that computes exp(t * A) * B for a scalar t, matrix A, and matrix or vector B, without computing exp(t * A). For large matrices A, this is significantly less expensive than calling exp(t * A) * B directly.

While exp(X) is only defined in LinearAlgebra for Diagonal, Symmetric{<:Real}/Hermitian, and StridedMatrix, expv can take an arbitrary matrix type. It also can be differentiated using ForwardDiff, ReverseDiff, and Zygote. Note that currently this just means we avoid patterns such as type constraints or mutation that are problematic for these automatic differentiation engines; no custom rules are defined. This may change in the future.

For description of keyword arguments, see the docstring of expv.

Related Packages

ExponentialUtilities.jl and Expokit.jl both implement an approximation to the action of the matrix exponential using Krylov subspaces.

References

  1. Al-Mohy, Awad H. and Higham, Nicholas J. (2011) Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators. SIAM Journal on Scientific Computing, 33 (2). pp. 488-511. ISSN 1064-8275 doi: 10.1137/100788860, eprint: eprints.maths.manchester.ac.uk/id/eprint/1591,
  2. https://github.com/higham/expmv

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