Changeset - 2ba81931a724
[Not reviewed]
0 3 1
Tom Bannink - 8 years ago 2017-08-30 16:57:26
tom.bannink@cwi.nl
Add canonical timeevol file
4 files changed with 113 insertions and 17 deletions:
0 comments (0 inline, 0 general)
cpp/Makefile
Show inline comments
 
@@ -14,6 +14,7 @@ TARGETS += switchchain
 
TARGETS += switchchain_canonical_creationfreqs
 
TARGETS += switchchain_canonical_mixingtime
 
TARGETS += switchchain_canonical_properties
 
TARGETS += switchchain_canonical_timeevol
 
TARGETS += switchchain_ccm_constructionrate
 
TARGETS += switchchain_ccm_cputime
 
TARGETS += switchchain_ccm_initialtris
cpp/switchchain_canonical_mixingtime.cpp
Show inline comments
 
@@ -13,9 +13,9 @@
 

	
 
int main(int argc, char* argv[]) {
 
    // Simulation parameters
 
    const int numVerticesMin = 2000;
 
    const int numVerticesMax = 5000;
 
    const int numVerticesStep = 1000;
 
    const int numVerticesMin = 10000;
 
    const int numVerticesMax = 20000;
 
    const int numVerticesStep = 10000;
 

	
 
    float tauValues[] = {2.1f, 2.3f, 2.5f, 2.7f, 2.9f};
 

	
 
@@ -52,7 +52,7 @@ int main(int argc, char* argv[]) {
 
    outfile << "tauValues: " << tauValues << std::endl;
 
    outfile << "Canonical degree sequence.\n";
 
    outfile << "sample runs: " << sampleRuns << std::endl;
 
    outfile << "time stamps: {0.1 n, 0.2 n, ... , 20.0 n}\n";
 
    outfile << "time stamps: {0.2 n, 0.4 n, 0.6 n, ... , 40.0 n}\n";
 
    outfile << "For uniform samples:\n";
 
    outfile << "mixingTime: 50 * (50 - 5 (tau - 2)) n\n";
 
    outfile << "measurements: 100000\n";
 
@@ -103,7 +103,7 @@ int main(int argc, char* argv[]) {
 
            outfile << '}';
 
#else
 
            std::vector<std::pair<int, Histogram>> samples;
 
            for (int i = 1; i <= 200; i++) {
 
            for (int i = 2; i <= 400; i += 2) {
 
                samples.push_back({(i * numVertices / 10), Histogram()});
 
            }
 

	
cpp/switchchain_canonical_timeevol.cpp
Show inline comments
 
new file 100644
 
#include "exports.hpp"
 
#include "graph.hpp"
 
#include "graph_powerlaw.hpp"
 
#include "graph_spectrum.hpp"
 
#include "histogram.hpp"
 
#include "switchchain.hpp"
 
#include <algorithm>
 
#include <fstream>
 
#include <iostream>
 
#include <numeric>
 
#include <random>
 
#include <vector>
 

	
 
int main(int argc, char* argv[]) {
 
    // Simulation parameters
 
    const int numVerticesMin = 1000;
 
    const int numVerticesMax = 1000;
 
    const int numVerticesStep = 1000;
 

	
 
    float tauValues[] = {2.1f, 2.3f, 2.5f, 2.7f, 2.9f};
 

	
 
    auto getMeasurements = [](int n, float tau) {
 
        (void)n;
 
        (void)tau;
 
        return 50000;
 
    };
 

	
 
    // Output file
 
    std::ofstream outfile;
 
    if (argc >= 2)
 
        outfile.open(argv[1]);
 
    else
 
        outfile.open("graphdata_canonical_timeevol.m");
 
    if (!outfile.is_open()) {
 
        std::cout << "ERROR: Could not open output file.\n";
 
        return 1;
 
    }
 

	
 
    // Output Mathematica-style comment to indicate file contents
 
    outfile << "(*\n";
 
    outfile << "n from " << numVerticesMin << " to " << numVerticesMax
 
            << " step " << numVerticesStep << std::endl;
 
    outfile << "tauValues: " << tauValues << std::endl;
 
    outfile << "Canonical degree sequence.\n";
 
    outfile << "10 runs per starting point.\n";
 
    outfile << "Measurements: 50000\n";
 
    outfile << "data:\n";
 
    outfile << "1: {n,tau}\n";
 
    outfile << "2: {triangles}\n";
 
    outfile << "*)" << std::endl;
 

	
 
    // Mathematica does not accept normal scientific notation
 
    outfile << std::fixed;
 
    outfile << '{' << '\n';
 
    bool outputComma = false;
 

	
 
    SwitchChain chain;
 
    Graph g;
 
    for (int numVertices = numVerticesMin; numVertices <= numVerticesMax;
 
         numVertices += numVerticesStep) {
 
        for (float tau : tauValues) {
 
            DegreeSequence ds;
 
            generateCanonicalPowerlawGraph(numVertices, tau, g, ds);
 

	
 
            std::cout << "Running (n,tau) = (" << numVertices << ',' << tau
 
                      << "). " << std::flush;
 

	
 
            for (int j = 0; j < 10; ++j) {
 
                std::vector<int> triangles;
 
                chain.initialize(g, true);
 
                int measurements = getMeasurements(numVertices, tau);
 
                for (int i = 0; i < measurements; ++i) {
 
                    chain.doMove(true);
 
                    triangles.push_back(chain.g.getTrackedTriangles());
 
                }
 

	
 
                if (outputComma)
 
                    outfile << ',' << '\n';
 
                outputComma = true;
 
                outfile << '{' << '{' << numVertices << ',' << tau << '}';
 
                outfile << ',' << triangles;
 
                outfile << '}' << std::flush;
 
            }
 
            std::cout << std::endl;
 
        }
 
    }
 
    outfile << '\n' << '}';
 
    return 0;
 
}
triangle_canonical_mixingtime.m
Show inline comments
 
(* ::Package:: *)
 

	
 
gsraw=Import[NotebookDirectory[]<>"data/graphdata_canonical_mixingtime_histogram.m"];
 
gsraw=Import[NotebookDirectory[]<>"data/graphdata_canonical_mixingtime_histogram_merged.m"];
 
gdata=GatherBy[gsraw,{#[[1,2]]&}];
 
(* Data format: *)
 
(* gdata[[ tau index, n index, datatype index ]] *)
 
@@ -48,9 +48,10 @@ FrameLabel->{"triangles","probability"}
 
],
 
ListPlot[normalize[run[[3]]],Joined->True,PlotRange->plotrange,PlotLegends->Placed[{"uniform"},Scaled[{0.7,0.7}]],PlotStyle->{Thick,Black}]]]
 

	
 
plot1=makeHistogram[gdata[[1,-1]],{{3500,7800},{0,0.005}},{10,50,100}]
 
plot2=makeHistogram2[gdata[[3,-1]],{{50,300},{0,0.04}},{10,20,30}]
 
plot3=makeHistogram2[gdata[[5,-1]],{{0,70},{0,0.18}},{5,10,20}]
 
plot1=makeHistogram[gdata[[1,5]],{{3500,7800},{0,0.005}},{10,50,100}]
 
plot2=makeHistogram2[gdata[[3,5]],{{50,300},{0,0.04}},{10,20,30}]
 
plot3=makeHistogram2[gdata[[5,5]],{{0,70},{0,0.18}},{5,10,20}]
 
plot4=makeHistogram[gdata[[1,-1]],Automatic,{50,100,150,200}]
 

	
 

	
 
Export[NotebookDirectory[]<>"plots/triangle_distributions_over_time.pdf",plot2]
 
@@ -79,8 +80,10 @@ m=Min[hist1[[1,1]],hist2[[1,1]]];
 
M=Max[hist1[[-1,1]],hist2[[-1,1]]];
 
probs=ConstantArray[0,M-m+1];
 
probs1=hist1[[All,2]];
 
(* probs1=GaussianFilter[probs1,10]; (* test *) *)
 
probs1=probs1/Total[probs1];
 
probs2=hist2[[All,2]];
 
(* probs2=GaussianFilter[probs2,10]; (* test *) *)
 
probs2=probs2/Total[probs2];
 
probs[[1+hist1[[1,1]]-m;;1+hist1[[-1,1]]-m]]+=probs1;
 
probs[[1+hist2[[1,1]]-m;;1+hist2[[-1,1]]-m]]-=probs2;
 
@@ -105,18 +108,20 @@ ratios=Map[getRatios,gdata,{2}];
 
(*Map[ListPlot[#[[All,2]],Joined->True,PlotMarkers->Automatic,PlotRange->(1+{-0.15,+0.15}),PlotLegends->#[[All,1]],ImageSize->300]&,ratios]*)
 
(*Map[ListPlot[#[[All,3]],Joined->True,PlotMarkers->Automatic,PlotRange->(0+{-1,+1}),PlotLegends->#[[All,1]],ImageSize->300]&,ratios]*)
 
*)
 
getTVDs[run_]:=Module[{scalefactor},
 
scalefactor=1/(run[[1,1]]*Log[2,run[[1,1]]]^(1*(4-run[[1,2]])));
 
{"\[Tau] = "<>ToString[run[[1,2]]],
 
Map[{#[[1]]*scalefactor,getTVDistance2[#[[2]],run[[3]]]}&,run[[2]]]}
 
getTVDs[run_]:=Module[{scaling},
 
scaling[step_,n_,tau_]:=step/(n*Log[n]^(4-tau));
 
{"n = "<>ToString[run[[1,1]]],"\[Tau] = "<>ToString[run[[1,2]]],
 
Map[{scaling[#[[1]],run[[1,1]],run[[1,2]]],getTVDistance2[#[[2]],run[[3]]]}&,run[[2]]]}
 
]
 
TVDs=Map[getTVDs,gdata,{2}];
 

	
 

	
 
Map[Show[ListPlot[#[[All,2]],
 
Map[Show[ListPlot[#[[All,3]],
 
Joined->True,(*PlotMarkers->Automatic,*)
 
PlotLegends->#[[All,1]],ImageSize->500,
 
PlotRange->{0,1},Frame->True,FrameLabel->{"steps / (n (\!\(\*SubscriptBox[\(log\), \(2\)]\)n\!\(\*SuperscriptBox[\()\), \(4 - \[Tau]\)]\))","TV distance"}],
 
PlotLegends->Placed[#[[All,1]],Center],ImageSize->500,
 
PlotRange->{0,1},Frame->True,FrameLabel->{"steps / (n (\!\(\*SubscriptBox[\(log\), \(2\)]\)n\!\(\*SuperscriptBox[\()\), \(4 - \[Tau]\)]\))","TV distance"},
 
PlotLabel->#[[1,2]]
 
],
 
Plot[{0.1,0.05},{x,0,20},PlotStyle->Directive[Black,Dashed]]
 
]&,TVDs]
 

	
 
@@ -139,8 +144,9 @@ While[i<=Length[run[[2]]],
 
mixingtimes=Map[getMixingTime,gdata,{2}];
 

	
 

	
 
scaling[n_,tau_]:=n*Log[n]^(4-tau);
 
scaling[n_,tau_]:=n*Log[2,n]^(4-tau);
 
scaling[n_,tau_]:=n;
 
scaling[n_,tau_]:=n*Log[2,n]^1.5;
 
plotData=Map[{#[[1]],#[[4]]/scaling[#[[1]],#[[2]]]}&,mixingtimes,{2}]~Join~Map[{#[[1]],#[[3]]/scaling[#[[1]],#[[2]]]}&,mixingtimes,{2}];
 
fillings={1->{6},2->{7},3->{8},4->{9},5->{10}};
 
taulabels=Map["\[Tau] = "<>ToString[#[[1,2]]]&,mixingtimes];
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