Represent an undirected graph as a map from each vertex to its list of neighbours. For every edge (u, v), append v to adj[u] and u to adj[v]. Neighbour lists keep insertion order so the graph is a stable, deterministic fixture for the search lessons.

Algorithm

Basic Implementation

basic.cpp
#include <iostream>
#include <vector>
#include <map>

int main() {
    std::vector<std::pair<int, int>> edges = {
        {1, 2}, {1, 3}, {2, 4}, {3, 4}, {4, 5}, {5, 6}};
    std::map<int, std::vector<int>> adj;
    for (const auto& e : edges) {
        adj[e.first].push_back(e.second);
        adj[e.second].push_back(e.first);
    }
    std::cout << "{";
    bool first = true;
    for (const auto& kv : adj) {
        if (!first) std::cout << ", ";
        std::cout << kv.first << ": [";
        for (size_t i = 0; i < kv.second.size(); ++i) {
            if (i > 0) std::cout << ", ";
            std::cout << kv.second[i];
        }
        std::cout << "]";
        first = false;
    }
    std::cout << "}" << std::endl;
    return 0;
}

The graph fixture is pinned once, then the adjacency list writes each undirected edge in both directions.

Step 1 - Pinned graph fixture

The six vertices and six undirected edges are the shared fixture for BFS and DFS.

Graph with edges (1,2), (1,3), (2,4), (3,4), (4,5), (5,6).123456

Step 2 - Final adjacency list

Each row lists neighbours in the same insertion order used by the lesson.

Adjacency list after all six undirected edges are inserted.vertexneighbours1[2, 3]2[1, 4]3[1, 4]4[2, 3, 5]5[4, 6]6[5]

Complexity

  • Build: O(V + E)
  • Space: O(V + E)

Implementation notes

  • C++: a std::map<int, std::vector<int>> keeps vertices in sorted order, and each vector stores neighbours appended in edge order.
  • The replay shows the adjacency list after each edge is added, matching the lesson spec.
adjacency list Each edge adds two directed entries, one in each direction.