Added Prim's algorithm

This commit is contained in:
GregorSamsa42 2024-07-30 18:16:33 +02:00
parent 8174057384
commit 342efb8e59
4 changed files with 225 additions and 0 deletions

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cmake_minimum_required(VERSION 3.10)
project(prim)
add_executable(prim
../../weighted_graph.cpp
../../weighted_graph.h
prim.cpp)

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// Algorithm generating a minimum spanning tree using Prim's algorithm
// Authors: Georǵi Kocharyan
#include <iostream>
#include <cstdio>
#include <vector>
#include <list>
#include <queue>
#include <algorithm>
#include <string>
#include <functional>
#include "../../weighted_graph.h"
struct key_compare
{
bool operator()(const std::pair<int, double>& l, const std::pair<int, double>& r)
{
return l.second > r.second;
}
};
void next_edge(WeightedGraph const & G, std::vector<std::pair<int, double>> & min_neighbours, std::priority_queue<std::pair<int, double>, std::vector<std::pair<int, double>>, key_compare> & notMST, std::vector<bool> & inMST, int & last_added, double & total_weight) {
// update the priority queue
for (const auto& j: G.adjList(last_added))
{
int to = j.first;
double weight = j.second;
if (weight < min_neighbours[to].second)
{
min_neighbours[to] = std::make_pair(last_added, weight);
notMST.push(std::make_pair(to, weight));
}
}
// add the next edge
std::pair<int, double> node = notMST.top();
notMST.pop();
if (!inMST[node.first])
{
std::cout << node.first << "-" << min_neighbours[node.first].first << "\t" << node.second << std::endl;
last_added = node.first;
inMST[node.first] = true;
total_weight = total_weight + node.second;
}
}
void prim(WeightedGraph const & G) {
// preprocessing: remove all double edges except the minimal ones
WeightedGraph H = G.remove_parallel();
// preprocessing: create a vector with the min MST neighbour of all vertices
std::vector<std::pair<int, double>> min_neighbours(H.num_nodes(), std::make_pair(0,std::numeric_limits<double>::infinity()));
// preprocessing: track with a vector which elements are in the MST
std::vector<bool> inMST(H.num_nodes(), false);
inMST[0] = true;
// preprocessing: create a priority queue of vertices not yet in the MST
std::priority_queue<std::pair<int, double>, std::vector<std::pair<int, double>>, key_compare> notMST;
for (int i = 1; i < H.num_nodes(); i++)
{
notMST.push(std::make_pair(i, std::numeric_limits<double>::infinity()));
}
int last_added = 0;
double total_weight = 0;
while (!notMST.empty())
{
next_edge(H, min_neighbours, notMST, inMST, last_added, total_weight);
}
std::cout << "The total weight of the MST is " << total_weight << std::endl;
}
int main() {
int size = 8;
WeightedGraph G(size);
G.add_edge(3,4,2);
G.add_edge(4,3,3);
G.add_edge(5,6,6);
G.add_edge(6,7,1);
G.add_edge(1,2,3);
G.add_edge(2,3,8);
G.add_edge(7,5,0.2);
G.add_edge(7,3,9);
G.add_edge(0,3,1);
G.add_edge(3,0,5);
prim(G);
return 0;
}

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weighted_graph.cpp Normal file
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#include "weighted_graph.h"
#include <unordered_map>
#include <iostream>
Node::Node(std::list<std::pair<int, double>> neighbours_) : neighbours(std::move(neighbours_))
{
}
void Node::add_edge(int node_id, double weight)
{
neighbours.push_back(std::make_pair(node_id,weight));
}
int Node::deg() const
{
return neighbours.size();
}
WeightedGraph::WeightedGraph(size_t num_nodes) : nodes(num_nodes)
{
}
void WeightedGraph::add_edge(int from, int to, double weight)
{
nodes[from].add_edge(to, weight);
nodes[to].add_edge(from, weight);
}
std::list<std::pair<int, double>> WeightedGraph::adjList(int node_id) const
{
return (nodes[node_id]).neighbours;
}
int WeightedGraph::deg(int node_id) const
{
return nodes[node_id].deg();
}
size_t WeightedGraph::num_nodes() const
{
return nodes.size();
}
std::pair<int,double> WeightedGraph::min_neighbour(int node_id) const
{
if (adjList(node_id).empty())
{
return std::make_pair(0,0);
}
int result = (adjList(node_id).front()).first;
int current_min = (adjList(node_id).front()).second;
for (const auto& i : adjList(node_id))
{
if (current_min > i.second)
{
current_min = i.second;
result = i.first;
}
}
return std::make_pair(result,current_min);
}
// removes duplicate edges, leaving only the lightest edge (guarantees m = O(n^2))
WeightedGraph WeightedGraph::remove_parallel() const
{
WeightedGraph G(num_nodes());
for (int i = 0; i < num_nodes(); i++)
{
std::unordered_map<int, double> lightestEdges;
for (const auto& j: adjList(i))
{
int to = j.first;
double weight = j.second;
if (lightestEdges.find(to) == lightestEdges.end() || weight < lightestEdges[to])
{
lightestEdges[to] = weight;
}
}
for (const auto& [to, weight] : lightestEdges)
{
G.nodes[i].add_edge(to, weight);
}
}
return G;
}

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#ifndef C___WEIGHTEDGRAPH_H
#define C___WEIGHTEDGRAPH_H
#include <list>
#include <vector>
#include <algorithm>
struct Node {
std::list<std::pair<int, double>> neighbours;
Node() = default;
Node(std::list<std::pair<int, double>> neighbours);
void add_edge(int node_id, double weight);
int deg() const;
};
class WeightedGraph {
public:
WeightedGraph(size_t num_nodes);
void add_edge(int from, int to, double weight);
std::list<std::pair<int, double>> adjList(int node_id) const;
size_t num_nodes() const;
int deg(int v) const;
std::pair<int,double> min_neighbour(int node_id) const;
WeightedGraph remove_parallel() const;
private:
std::vector<Node> nodes;
};
#endif //C___WEIGHTEDGRAPH_H