Comments (3)
Hi, @lindnemi!
Thank you for pointing out this; I took a look and indeed it seems like adding a lower reltol
helps the performance of Vern9
. I noticed that if I put abstol=1e-20, reltol=1e-20
with Vern9
the integration takes really long to finish (it performs more than 1e6 iterations), but found a good balance accuracy/speed with abstol=1e-15, reltol=1e-15
.
I'd be in favor of updating this example with sensible values for reltol
, so that the comparison is better. Also I noticed that the call to TaylorMethod(25)
does not use @taylorize
, which really helps performance for TaylorIntegration.jl
, what do you think @lbenet?
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Thanks @lindnemi for the clarification. I do agree that it is important to be fair!
@PerezHz I also agree that the example should be adapted to include @taylorize
if we are comparing performances.
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Wow, that got fixed quickly. Exciting to see the updated results and explanation.
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