diff --git a/cpp/switchchain_ccm_initialtris.cpp b/cpp/switchchain_ccm_initialtris.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..d62f9258837e25112454508dab2ba7b357731599
--- /dev/null
+++ b/cpp/switchchain_ccm_initialtris.cpp
@@ -0,0 +1,150 @@
+#include "exports.hpp"
+#include "graph.hpp"
+#include "graph_ccm.hpp"
+#include "graph_powerlaw.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 = 200;
+    const int numVerticesMax = 2000;
+    const int numVerticesStep = 400;
+
+    float tauValues[] = {2.1f, 2.2f, 2.3f, 2.4f, 2.5f, 2.6f, 2.7f, 2.8f, 2.9f};
+    //float tauValues[] = {2.1f, 2.3f, 2.5f, 2.7f, 2.9f};
+
+    const int totalDegreeSamples = 200;
+
+    auto getMixingTime = [](int n, float tau) {
+        return int(50.0f * (50.0f - 30.0f * (tau - 2.0f)) * n);
+    };
+    auto getMeasurements = [](int n, float tau) {
+        (void)n;
+        (void)tau;
+        return 100;
+    };
+    auto getMeasureSkip = [](int n, float tau) {
+        (void)tau;
+        return 10 * n; // Take a sample every ... steps
+    };
+
+    // Output file
+    std::ofstream outfile;
+    if (argc >= 2)
+        outfile.open(argv[1]);
+    else
+        outfile.open("graphdata_ccm_initialtris.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 << "degreeSamples: " << totalDegreeSamples << std::endl;
+    outfile << "mixingTime: 50 * (50 - 30 (tau - 2)) n\n";
+    outfile << "measurements: 100\n";
+    outfile << "measureSkip: 10 n\n";
+    outfile << "data:\n";
+    outfile << "1: {n,tau}\n";
+    outfile << "2: avgTriangles\n";
+    outfile << "3: {ccmTris1, ccmsrate1} \n";
+    outfile << "4: {ccmTris2, ccmsrate2} \n";
+    outfile << "*)" << std::endl;
+ 
+    // Mathematica does not accept normal scientific notation
+    outfile << std::fixed;
+    outfile << '{';
+    bool outputComma = false;
+
+    std::mt19937 rng(std::random_device{}());
+    Graph g;
+    for (int numVertices = numVerticesMin; numVertices <= numVerticesMax;
+         numVertices += numVerticesStep) {
+        for (float tau : tauValues) {
+            // For a single n,tau take samples over several instances of
+            // the degree distribution.
+            for (int degreeSample = 0; degreeSample < totalDegreeSamples;
+                 ++degreeSample) {
+                DegreeSequence ds;
+                generatePowerlawGraph(numVertices, tau, g, ds, rng);
+
+                std::cout << "Running (n,tau) = (" << numVertices << ',' << tau
+                          << "). " << std::flush;
+
+                //
+                // Test the GCM1 and GCM2 success rate
+                //
+                long long gcmTris1 = 0;
+                long long gcmTris2 = 0;
+                int successrate1 = 0;
+                int successrate2 = 0;
+                for (int i = 0; i < 100; ++i) {
+                    Graph gtemp;
+                    // Take new highest degree every time
+                    if (constrainedConfigurationModel(ds, gtemp, rng, false)) {
+                        ++successrate1;
+                        gcmTris1 += gtemp.countTriangles();
+                    }
+                    // Finish all pairings of highest degree first
+                    if (constrainedConfigurationModel(ds, gtemp, rng, true)) {
+                        ++successrate2;
+                        gcmTris2 += gtemp.countTriangles();
+                    }
+                }
+
+                SwitchChain chain;
+                if (!chain.initialize(g)) {
+                    std::cerr << "Could not initialize Markov chain.\n";
+                    return 1;
+                }
+
+
+                long long trianglesTotal = 0;
+
+                std::cout << " Finished CCM generation." << std::flush;
+
+                int mixingTime = getMixingTime(numVertices, tau);
+                for (int i = 0; i < mixingTime; ++i) {
+                    chain.doMove();
+                }
+                chain.g.getTrackedTriangles() = chain.g.countTriangles();
+                int measurements = getMeasurements(numVertices, tau);
+                int measureSkip = getMeasureSkip(numVertices, tau);
+                for (int i = 0; i < measurements; ++i) {
+                    for (int j = 0; j < measureSkip; ++j)
+                        chain.doMove(true);
+                    trianglesTotal += chain.g.getTrackedTriangles();
+                }
+
+                std::cout << " Finished mixing and measurements." << std::flush;
+
+                if (outputComma)
+                    outfile << ',' << '\n';
+                outputComma = true;
+
+                float avgTriangles =
+                    float(trianglesTotal) / float(measurements);
+                outfile << '{';
+                outfile << '{' << numVertices << ',' << tau << '}';
+                outfile << ',' << avgTriangles;
+                outfile << ',' << '{' << gcmTris1 << ',' << successrate1 << '}';
+                outfile << ',' << '{' << gcmTris2 << ',' << successrate2 << '}';
+                outfile << '}' << std::flush;
+
+                std::cout << std::endl;
+            }
+        }
+    }
+    outfile << '}';
+    return 0;
+}