Defining pow functions for adjacency and transition matrices

include/CXXGraph/Graph/Algorithm/Pow_impl.hpp

@@ -0,0 +1,196 @@
+/***********************************************************/
+/***      ______  ____  ______                 _         ***/
+/***     / ___\ \/ /\ \/ / ___|_ __ __ _ _ __ | |__	     ***/
+/***    | |    \  /  \  / |  _| '__/ _` | '_ \| '_ \	 ***/
+/***    | |___ /  \  /  \ |_| | | | (_| | |_) | | | |    ***/
+/***     \____/_/\_\/_/\_\____|_|  \__,_| .__/|_| |_|    ***/
+/***                                    |_|			     ***/
+/***********************************************************/
+/***     Header-Only C++ Library for Graph			     ***/
+/***	 Representation and Algorithms				     ***/
+/***********************************************************/
+/***     Author: ZigRazor ***/
+/***	 E-Mail: [email protected] 				     ***/
+/***********************************************************/
+/***	 Collaboration: ----------- 				     ***/
+/***********************************************************/
+/***	 License: AGPL v3.0 ***/
+/***********************************************************/
+
+#ifndef __CXXGRAPH_POW_IMPL_H__
+#define __CXXGRAPH_POW_IMPL_H__
+
+#pragma once
+
+#include "CXXGraph/Graph/Graph_decl.h"
+
+template <typename T>
+std::vector<std::vector<T>> matMult(std::vector<std::vector<T>> &a,
+                                    std::vector<std::vector<T>> &b) {
+  static_assert(std::is_arithmetic<T>::value,
+                "Type T must be either unsigned long long or double");
+
+  int n = static_cast<int>(a.size());  // N x N matrix
+  std::vector<std::vector<T>> res(n, std::vector<T>(n, 0));
+
+  // O(n^3) matrix multiplication
+  for (int i = 0; i < n; i++) {
+    for (int j = 0; j < n; j++) {
+      for (int k = 0; k < n; k++) {
+        res[i][j] += a[i][k] * b[k][j];
+      }
+    }
+  }
+
+  return res;
+}
+
+template <typename T>
+std::vector<std::vector<T>> exponentiation(std::vector<std::vector<T>> &mat,
+                                           unsigned int k) {
+  // typechecking
+  static_assert(std::is_arithmetic<T>::value,
+                "Type T must be either unsigned long long or double");
+
+  int n = static_cast<int>(mat.size());
+  std::vector<std::vector<T>> res(n, std::vector<T>(n, 0));
+
+  // build identity matrix
+  for (int i = 0; i < n; i++) res[i][i] = 1;
+
+  // fast exponentation!
+  while (k) {
+    if (k & 1) res = matMult(res, mat);
+    mat = matMult(mat, mat);
+    k >>= 1;
+  }
+
+  return res;
+}
+
+namespace CXXGraph {
+
+/**
+ * @brief This function raises the adjacency matrix to some k.
+ * Best used for counting number of k-length walks from i to j.
+ * @param k value by which to raise matrix
+ * @return (success, errorMessage, matrix): where matrix is equivalent to A^k
+ */
+template <typename T>
+const PowAdjResult matrixPow(const shared<AdjacencyMatrix<T>> &adj, unsigned int k) {
+  PowAdjResult result;
+  result.success = false;
+  result.errorMessage = "";
+  std::unordered_map<std::pair<std::string, std::string>, unsigned long long,
+                     CXXGraph::pair_hash>
+      powAdj;
+
+  // convert back and forth between user ids and index in temporary adj matrix
+  std::unordered_map<std::string, int> userIdToIdx;
+  std::unordered_map<int, std::string> idxToUserId;
+
+  int n = 0;
+  for (const auto &[node, list] : *adj) {
+    userIdToIdx[node->getUserId()] = n;
+    idxToUserId[n] = node->getUserId();
+    n++;
+  }
+
+  // adj int will store the temporary (integer) adjacency matrix
+  std::vector<std::vector<unsigned long long>> tempIntAdj(
+      n, std::vector<unsigned long long>(n, 0));
+
+  // populate temporary adjacency matrix w/ edges
+  // can handle both directed and undirected
+  for (const auto &[node, edges] : *adj) {
+    for (const auto &e : edges) {
+      const auto edge = e.second->getNodePair();
+      const auto firstId = edge.first->getUserId();
+      const auto secondId = edge.second->getUserId();
+
+      // if undirected, add both sides
+      if (!(e.second->isDirected().has_value() && e.second->isDirected().value()))
+        tempIntAdj[userIdToIdx[secondId]][userIdToIdx[firstId]] = 1;
+      tempIntAdj[userIdToIdx[firstId]][userIdToIdx[secondId]] = 1;
+    }
+  }
+
+  // calculate the power matrix
+  auto powerMatrix = exponentiation(tempIntAdj, k);
+
+  for (int i = 0; i < n; i++) {
+    for (int j = 0; j < n; j++) {
+      auto pr = std::make_pair(idxToUserId[i], idxToUserId[j]);
+      powAdj[pr] = powerMatrix[i][j];
+    }
+  }
+
+  result.result = std::move(powAdj);
+  result.success = true;
+
+  return result;
+}
+
+/**
+ * @brief This function raises a transition matrix to some k.
+ * Best used for finding equilibrium.
+ * @param k value by which to raise matrix
+ * @return (success, errorMessage, matrix): where matrix is equivalent to S^k
+ */
+template <typename T>
+const PowTransResult matrixPow(const shared<TransitionMatrix<T>> &trans,
+                                         unsigned int k) {
+  PowTransResult result;
+  result.success = false;
+  result.errorMessage = "";
+  std::unordered_map<std::pair<std::string, std::string>, double,
+                     CXXGraph::pair_hash>
+      powTrans;
+
+  std::unordered_map<std::string, int> userIdToIdx;
+  std::unordered_map<int, std::string> idxToUserId;
+
+  // get a map between index in adj matrix
+  // and userId
+  int n = 0;
+  for (const auto &[node, list] : *trans) {
+    userIdToIdx[node->getUserId()] = n;
+    idxToUserId[n] = node->getUserId();
+    n++;
+  }
+
+  std::vector<std::vector<double>> tempDoubleTrans(n,
+                                                   std::vector<double>(n,
+                                                   0));
+
+  // given transition matrix, convert it to
+  // stochastic matrix
+  for (const auto &it : *trans) {
+    const auto f = it.first;
+    const auto idx = userIdToIdx[f->getUserId()];
+
+    for (const auto &e : it.second) {
+      const auto idx2 = userIdToIdx[e.first->getUserId()];
+      tempDoubleTrans[idx][idx2] = e.second;
+    }
+  }
+
+  // exponentiate stochastic matrix
+  auto powerTransMatrix = exponentiation(tempDoubleTrans, k);
+
+  // turn back into a map between nodes
+  for (int i = 0; i < n; i++) {
+    for (int j = 0; j < n; j++) {
+      auto pr = std::make_pair(idxToUserId[i], idxToUserId[j]);
+      powTrans[pr] = powerTransMatrix[i][j];
+    }
+  }
+
+  result.result = std::move(powTrans);
+  result.success = true;
+
+  return result;
+}
+}  // namespace CXXGraph
+
+#endif  //_CXXGRAPH_POW_IMPL_H__

include/CXXGraph/Graph/Graph.h

@@ -37,6 +37,7 @@
 #include "CXXGraph/Graph/Algorithm/Kahn_impl.hpp"
 #include "CXXGraph/Graph/Algorithm/Kosaraju_impl.hpp"
 #include "CXXGraph/Graph/Algorithm/Kruskal_impl.hpp"
+#include "CXXGraph/Graph/Algorithm/Pow_impl.hpp"
 #include "CXXGraph/Graph/Algorithm/Prim_impl.hpp"
 #include "CXXGraph/Graph/Algorithm/Tarjan_impl.hpp"
 #include "CXXGraph/Graph/Algorithm/TopologicalSort_impl.hpp"

include/CXXGraph/Utility/Typedef.hpp

@@ -237,6 +237,26 @@ struct BestFirstSearchResult_struct {
 template <typename T>
 using BestFirstSearchResult = BestFirstSearchResult_struct<T>;
 
+/// Struct that contains the results from an adjacency matrix exponentiation
+/// results
+struct PowAdjResult_struct {
+  bool success = false;
+  std::string errorMessage = "";
+  std::unordered_map<std::pair<std::string, std::string>, unsigned long long, pair_hash>
+      result = {};
+};
+typedef PowAdjResult_struct PowAdjResult;
+
+/// Struct that contains the results from a transition matrix exponentiation
+/// results
+struct PowTransResult_struct {
+  bool success = false;
+  std::string errorMessage = "";
+  std::unordered_map<std::pair<std::string, std::string>, double, pair_hash>
+      result = {};
+};
+typedef PowTransResult_struct PowTransResult;
+
 ///////////////////////////////////////////////////////////////////////////////////
 // Using Definition
 // ///////////////////////////////////////////////////////////////