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-rw-r--r--rbmp.hpp162
1 files changed, 93 insertions, 69 deletions
diff --git a/rbmp.hpp b/rbmp.hpp
index 02ca5ad..15b7e97 100644
--- a/rbmp.hpp
+++ b/rbmp.hpp
@@ -3,6 +3,7 @@
#include <random>
#include <vector>
#include <limits>
+#include <stack>
#include "randutils/randutils.hpp"
#include "pcg-cpp/include/pcg_random.hpp"
@@ -10,97 +11,120 @@
#include "blossom5-v2.05.src/PerfectMatching.h"
using Rng = randutils::random_generator<pcg32>;
+using Real = long double;
-
-class Graph {
+class AztecDiamond {
public:
-class Edge;
-class HalfEdge;
-
-class Coordinate {
- std::array<int, 2> r;
- public:
- void operator=(const std::array<int, 2>& rp) {
- r = rp;
- }
- void operator+=(const Coordinate& x) {
- r[0] += x.r[0];
- r[1] += x.r[1];
- }
- void operator-=(const Coordinate& x) {
- r[0] -= x.r[0];
- r[1] -= x.r[1];
- }
- int operator[](unsigned i) const {
- return r[i];
- }
-};
+ using Coordinate = std::array<int, 2>;
-class Vertex {
-public:
- unsigned index;
- std::vector<std::reference_wrapper<HalfEdge>> neighbors;
- Coordinate coordinate;
+ typedef struct Vertex {
+ unsigned index;
+ Coordinate coordinate;
+ } Vertex;
- void addEdge(HalfEdge& e) {
- neighbors.push_back(e);
- }
-};
+ typedef struct Edge {
+ Vertex* tail;
+ Vertex* head;
+ double weight;
+ std::stack<Real> weights;
+ Real probability = 0;
+ } Edge;
-class HalfEdge {
private:
- Vertex* tail;
- Vertex* head;
+ std::tuple<Edge&, Edge&, Edge&, Edge&> face(unsigned i, unsigned j) {
+ unsigned x0 = n - i;
+ unsigned x = x0 + 2 * (j % i);
+ unsigned y = x0 + 2 * (j / i);
-public:
- const Edge& edge;
+ Edge& e1 = edges[2 * n * y + x];
+ Edge& e2 = edges[2 * n * y + x + 1];
+ Edge& e3 = edges[2 * n * (y + 1) + x];
+ Edge& e4 = edges[2 * n * (y + 1) + x + 1];
- HalfEdge(const Edge& e) : edge(e) {}
- void setVertices(Vertex& vt, Vertex& vh) {
- tail = &vt;
- head = &vh;
+ return {e1, e2, e3, e4};
}
- const Vertex& getHead() const {
- return *head;
- }
- const Vertex& getTail() const {
- return *tail;
- }
-};
-class Edge {
public:
- std::array<HalfEdge, 2> halfedges;
- double weight;
-
- Edge() : halfedges{*this, *this} {};
- void setVertices(Vertex& red, Vertex& blue) {
- halfedges[0].setVertices(red, blue);
- halfedges[1].setVertices(blue, red);
- red.addEdge(halfedges[0]);
- blue.addEdge(halfedges[1]);
- }
-};
+ unsigned n;
std::vector<Vertex> vertices;
std::vector<Edge> edges;
- Graph(int n, Rng& r) : vertices(2 * n * (n + 1)), edges(pow(2 * n, 2)) {
+ AztecDiamond(int n, Rng& r) : n(n), vertices(2 * n * (n + 1)), edges(pow(2 * n, 2)) {
unsigned M = vertices.size() / 2;
for (int i = 0; i < M; i++) {
vertices[i].index = i;
- vertices[i].coordinate = {2 * (i % (n + 1)), 2 * (i / (n + 1)) + 1};
vertices[M + i].index = M + i;
+ vertices[i].coordinate = {2 * (i % (n + 1)), 2 * (i / (n + 1)) + 1};
vertices[M + i].coordinate = {2 * (i % n) + 1, 2 * (i / n)};
}
for (unsigned i = 0; i < edges.size(); i++) {
- Vertex& redVertex = vertices[(1 + (i % (2 * n))) / 2 + (n + 1) * ((i / 4) / n)];
- Vertex& blueVertex = vertices[M + (i % (2 * n)) / 2 + n * (((i + 2 * n) / 4) / n)];
- edges[i].setVertices(redVertex, blueVertex);
+ edges[i].tail = &vertices[(1 + (i % (2 * n))) / 2 + (n + 1) * ((i / 4) / n)];
+ edges[i].head = &vertices[M + (i % (2 * n)) / 2 + n * (((i + 2 * n) / 4) / n)];
edges[i].weight = r.variate<double, std::exponential_distribution>(1);
}
}
-};
-bool edgeMatched(PerfectMatching& pm, const Graph::Edge& e) {
- return e.halfedges[0].getTail().index == pm.GetMatch(e.halfedges[0].getHead().index);
-}
+ void computeWeights() {
+ for (unsigned i = n; i > 0; i--) {
+#pragma omp parallel for
+ for (unsigned j = 0; j < pow(i, 2); j++) {
+ auto [e1, e2, e3, e4] = face(i, j);
+
+ Real w = e1.weights.top();
+ Real x = e2.weights.top();
+ Real y = e3.weights.top();
+ Real z = e4.weights.top();
+
+ Real cellFactor = w * z + x * y;
+
+ e1.weights.push(z / cellFactor);
+ e2.weights.push(y / cellFactor);
+ e3.weights.push(x / cellFactor);
+ e4.weights.push(w / cellFactor);
+ }
+ }
+
+ // This process computes one extra weight per edge.
+ for (Edge& e : edges) {
+ e.weights.pop();
+ }
+ }
+
+ Real computeProbabilities() { // destroys *all* weights
+ Real partitionFunction = 1;
+
+ for (unsigned i = 1; i <= n; i++) {
+#pragma omp parallel for
+ for (unsigned j = 0; j < pow(i, 2); j++) {
+ auto [e1, e2, e3, e4] = face(i, j);
+
+ Real p = e1.probability;
+ Real q = e2.probability;
+ Real r = e3.probability;
+ Real s = e4.probability;
+
+ Real w = e1.weights.top();
+ Real x = e2.weights.top();
+ Real y = e3.weights.top();
+ Real z = e4.weights.top();
+
+ Real cellFactor = w * z + x * y;
+ Real deficit = 1 - p - q - r - s;
+
+ e1.probability = s + deficit * w * z / cellFactor;
+ e2.probability = r + deficit * x * y / cellFactor;
+ e3.probability = q + deficit * x * y / cellFactor;
+ e4.probability = p + deficit * w * z / cellFactor;
+
+ e1.weights.pop();
+ e2.weights.pop();
+ e3.weights.pop();
+ e4.weights.pop();
+
+ partitionFunction *= cellFactor;
+ }
+ }
+
+ return partitionFunction;
+ }
+};