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Location: AENC/switchchain/triangle_spectrum_plots.m - annotation
4b6c189e4ae4
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application/vnd.wolfram.mathematica.package
Add mixing time analysis using exponential fits
5cec3a409ef3 5cec3a409ef3 32a7f1c13790 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 32a7f1c13790 32a7f1c13790 32a7f1c13790 32a7f1c13790 32a7f1c13790 32a7f1c13790 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 32a7f1c13790 32a7f1c13790 5cec3a409ef3 5cec3a409ef3 5cec3a409ef3 | (* ::Package:: *)
gsraw=Import[NotebookDirectory[]<>"data/graphdata_properties.m"];
(* gsraw=SortBy[gsraw,{#[[1,1]]&,#[[1,2]]&}]; (* Sort by n and then by tau. The {} forces a *stable* sort because otherwise Mathematica sorts also on triangle count and other things. *) *)
gdata=GatherBy[gsraw,{#[[1,2]]&,#[[1,1]]&}];
(* Data format: *)
(* gdata[[ tau index, n index, run index , datatype index ]] *)
(* datatype index:
1: {n,tau}
2: avgTriangles
3: edges
4: dstn
5: { HH A, HH L, average A, average L } where for each there is (average of) {lambda1 , lambda1 - lambda2, lambda1/lambda2}
6: switching successrate after mixing
7: initial HH triangles
*)
tauvalues=gdata[[All,1,1,1,2]];
nlabels=Map["n = "<>ToString[#]&,gdata[[1,All,1,1,1]]];
taulabels=Map["\[Tau] = "<>ToString[#]&,gdata[[All,1,1,1,2]]];
Histogram[gdata[[1,1,All,5,3,1]]]
Histogram[gdata[[1,1,All,5,3,2]]]
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