Timeline for Gillespie (stochastic simulation) algorithm
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| May 22 at 20:16 | history | bounty ended | CommunityBot | ||
| May 22 at 19:31 | vote | accept | CommunityBot | ||
| May 22 at 18:41 | comment | added | Alex Trounev |
@Anovice Please, pay attention that Out for a looks like a-> InterpolatingFunction[..], and for c -> Interpolation[...]. Rule a->InterpolatingFunction is ready to use, but for c we need to extract data first.
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| May 22 at 17:40 | comment | added | Alex Trounev |
@Anovice We can use Table[Plot[sto[[i]]@t, {t, 0, 2.5*3600}, PlotLabel -> vars[[i]], PlotLegends -> Automatic, PlotRange -> All], {i, Length[vars]}] to plot vars separately, or, for example, Plot[sto[[1]]@t, {t, 0, 2.5*3600}, PlotLabel -> vars[[1]], PlotLegends -> Automatic, PlotRange -> All] to plot a only.
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| May 22 at 14:52 | comment | added | Alex Trounev |
@Anovice Actually we have sol that consists of data ready to plot. We can plot data together or separate, with triangles or with any other PlotMarkers.
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| May 20 at 18:01 | history | edited | Alex Trounev | CC BY-SA 4.0 |
added 23 characters in body
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| May 20 at 16:40 | comment | added | Alex Trounev | @Anovice Yes, you are right. I add more legends. | |
| May 20 at 16:25 | history | answered | Alex Trounev | CC BY-SA 4.0 |