This is a Julia translation of the MATLAB implementation of Al-Mohy and Higham's
function for computing expm(t*A)*v
when A
is sparse, without explicitly computing expm(A)
.
The original code can be found at Matlabcentral File Exchange, and the theory is explained in the following article:
Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators, Awad H. Al-Mohy and Nicholas J. Higham, SIAM Journal on Scientific Computing 2011 33:2, 488-511. (preprint)
Install into Julia using the package manager:
Pkg.clone("git@github.com:marcusps/ExpmV.jl.git", "ExpmV")
expmv(t,A,v)
Although both the ExpmV.jl
and Expokit.jl
implementations are in the early stages of development (ExpmV.jl
is a direct translation of MATLAB code, and Expokit.jl
is not fully optimized), here are some crude benchmarks (using Benchmark.jl
) that indicate large gains over the dense expm
. Source can be found in test\benchmark.jl
.
Benchmark 1: Complex matrix with density of 0.0191, dimension 100, 100 trials
Row | Function | Average | Relative | Replications |
---|---|---|---|---|
1 | Expmv.jl |
0.0213879 | 5.24362 | 100 |
2 | Expokit.jl |
0.00407885 | 1.0 | 100 |
3 | Julia's dense expm |
0.0686303 | 16.8259 | 100 |
Benchmark 2: Complex matrix with density of 0.1913, dimension 100, 100 trials
Row | Function | Average | Relative | Replications |
---|---|---|---|---|
1 | Expmv.jl |
0.00602035 | 1.74028 | 100 |
2 | Expokit.jl |
0.00345941 | 1.0 | 100 |
3 | Julia's dense expm |
0.0275519 | 7.96434 | 100 |
Benchmark 3: Complex matrix with density of 0.3651, dimension 100, 100 trials
Row | Function | Average | Relative | Replications |
---|---|---|---|---|
1 | Expmv.jl |
0.0105414 | 1.97621 | 100 |
2 | Expokit.jl |
0.00533413 | 1.0 | 100 |
3 | Julia's dense expm |
0.0354484 | 6.64558 | 100 |
Clearly the current ExpmV.jl
implementation needs to be looked at more carefully (See Issue #1 in particular, which appears to cause a bottle neck due to my incomplete implementation)
Released under the BSD 2-clause license used in Al-Mohy and Higham's original code.