The API of this package is a single function
expv(t, A, B) that computes
exp(t * A) * B for a scalar
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.
exp(X) is only defined in LinearAlgebra for
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
- 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,