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Adds Coevolve aggregator to the Jumps benchmark suite #565

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Merged
merged 11 commits into from
Jan 19, 2023
1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -30,6 +30,7 @@ or building work-precision diagrams for direct comparison of speed at given erro

**If any of the code from any of the languages can be improved, please open a pull request**.


## Results

To view the results of the SciML Benchmarks, go to [benchmarks.sciml.ai](https://benchmarks.sciml.ai/stable/). By default, this
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2 changes: 1 addition & 1 deletion benchmarks/Jumps/Diffusion_CTRW.jmd
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Expand Up @@ -21,7 +21,7 @@ N = 256
h = 1 / N
u0 = 10 * ones(Int64, N)
tf = .01
methods = (Direct(), SortingDirect(), NRM(), DirectCR(), RSSA(), RSSACR())
methods = (Direct(), FRM(), SortingDirect(), NRM(), DirectCR(), RSSA(), RSSACR(), Coevolve())
shortlabels = [string(leg)[15:end-2] for leg in methods]
jprob = JumpProblemLibrary.prob_jump_diffnetwork
rn = jprob.network(N)
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