Graphs / Exponential Graph Problems
4.7.4 Shortest Hamiltonian Path and Cycle (Held-Karp)
4-Graphs/4.7.4_Shortest_Hamiltonian_Path_and_Cycle_(Held-Karp).cpp
Given a complete, weighted, directed graph, find a minimum-length Hamiltonian path or cycle. A Hamiltonian path visits each node exactly once. A Hamiltonian cycle additionally returns to its starting node; this cycle version is the traveling salesman problem (TSP).
Both functions use the Held-Karp subset dynamic program, where dp[S][i] is the shortest path visiting exactly the nodes in S and ending at node i.
shortest_hamiltonian_path()populatespathand returns the minimum Hamiltonian path length for a global, pre-populated adjacency matrixadj.shortest_hamiltonian_cycle()fixes the start at node 0, populatespath, and returns the minimum Hamiltonian cycle length for a global, pre-populated adjacency matrixadj.
Since this implementation uses bitmasks with signed 32-bit integers, the maximum number of nodes must be less than 31.
Implementation
#include <algorithm>
#include <cassert>
#include <cstdint>
#include <vector>
const int64_t INF = INT64_MAX / 4;
std::vector<std::vector<int64_t>> adj, dp;
std::vector<int> path;
int64_t shortest_hamiltonian_path() {
int n = static_cast<int>(adj.size());
assert(n >= 1);
int max_mask = (1 << n) - 1;
dp.assign(max_mask + 1, std::vector<int64_t>(n, INF));
path.assign(n, 0);
for (int i = 0; i < n; i++) {
dp[1 << i][i] = 0;
}
for (int mask = 1; mask <= max_mask; mask++) {
for (int i = 0; i < n; i++) {
if ((mask & (1 << i)) != 0) {
for (int j = 0; j < n; j++) {
if ((mask & (1 << j)) != 0 && dp[mask ^ (1 << i)][j] != INF) {
dp[mask][i] = std::min(dp[mask][i], dp[mask ^ (1 << i)][j] + adj[j][i]);
}
}
}
}
}
int64_t res = INF;
for (int i = 0; i < n; i++) {
res = std::min(res, dp[max_mask][i]);
}
int mask = max_mask, old = -1;
for (int i = n - 1; i >= 0; i--) {
int best = -1;
for (int j = 0; j < n; j++) {
if ((mask & (1 << j)) != 0 &&
(best == -1 || dp[mask][best] + (old == -1 ? 0 : adj[best][old]) >
dp[mask][j] + (old == -1 ? 0 : adj[j][old]))) {
best = j;
}
}
path[i] = best;
mask ^= 1 << best;
old = best;
}
return res;
}
int64_t shortest_hamiltonian_cycle() {
int n = static_cast<int>(adj.size());
assert(n >= 1);
if (n == 1) {
path = {0};
return 0;
}
int max_mask = (1 << n) - 1;
dp.assign(max_mask + 1, std::vector<int64_t>(n, INF));
path.assign(n, 0);
dp[1][0] = 0;
for (int mask = 1; mask <= max_mask; mask += 2) {
for (int i = 1; i < n; i++) {
if ((mask & (1 << i)) != 0) {
for (int j = 0; j < n; j++) {
if ((mask & (1 << j)) != 0 && dp[mask ^ (1 << i)][j] != INF) {
dp[mask][i] = std::min(dp[mask][i], dp[mask ^ (1 << i)][j] + adj[j][i]);
}
}
}
}
}
int64_t res = INF;
for (int i = 1; i < n; i++) {
res = std::min(res, dp[max_mask][i] + adj[i][0]);
}
int mask = max_mask, old = 0;
for (int i = n - 1; i >= 1; i--) {
int best = -1;
for (int j = 1; j < n; j++) {
if ((mask & (1 << j)) != 0 &&
(best == -1 || dp[mask][best] + adj[best][old] > dp[mask][j] + adj[j][old])) {
best = j;
}
}
path[i] = best;
mask ^= 1 << best;
old = best;
}
return res;
}
Example Usage
#include <iostream>
using namespace std;
int main() {
int nodes = 3;
adj.assign(nodes, std::vector<int64_t>(nodes));
adj[0][1] = 1;
adj[0][2] = 1;
adj[1][0] = 7;
adj[1][2] = 2;
adj[2][0] = 3;
adj[2][1] = 5;
cout << "Shortest Hamiltonian path length: " << shortest_hamiltonian_path() << endl;
cout << "Path: " << path[0];
for (int i = 1; i < nodes; i++) {
cout << "->" << path[i];
}
cout << "\n\n";
cout << "Shortest Hamiltonian cycle length: " << shortest_hamiltonian_cycle() << endl;
cout << "Cycle: ";
for (int i = 0; i < nodes; i++) {
cout << path[i] << "->";
}
cout << path[0] << endl;
return 0;
}
Example Output
Shortest Hamiltonian path length: 3
Path: 0->1->2
Shortest Hamiltonian cycle length: 6
Cycle: 0->1->2->0
/*
Given a complete, weighted, directed graph, find a minimum-length Hamiltonian path or cycle. A
Hamiltonian path visits each node exactly once. A Hamiltonian cycle additionally returns to its
starting node; this cycle version is the traveling salesman problem (TSP).
Both functions use the Held-Karp subset dynamic program, where `dp[S][i]` is the shortest path
visiting exactly the nodes in `S` and ending at node `i`.
- `shortest_hamiltonian_path()` populates `path` and returns the minimum Hamiltonian path length
for a global, pre-populated adjacency matrix `adj`.
- `shortest_hamiltonian_cycle()` fixes the start at node 0, populates `path`, and returns the
minimum Hamiltonian cycle length for a global, pre-populated adjacency matrix `adj`.
Since this implementation uses bitmasks with signed 32-bit integers, the maximum number of nodes
must be less than 31.
Time Complexity:
- O(2^n * n^2) per call, where $n$ is the number of nodes.
Space Complexity:
- O(n^2) for storage of the graph, where $n$ is the number of nodes.
- O(2^n * n) auxiliary heap space.
*/
#include <algorithm>
#include <cassert>
#include <cstdint>
#include <vector>
const int64_t INF = INT64_MAX / 4;
std::vector<std::vector<int64_t>> adj, dp;
std::vector<int> path;
int64_t shortest_hamiltonian_path() {
int n = static_cast<int>(adj.size());
assert(n >= 1);
int max_mask = (1 << n) - 1;
dp.assign(max_mask + 1, std::vector<int64_t>(n, INF));
path.assign(n, 0);
for (int i = 0; i < n; i++) {
dp[1 << i][i] = 0;
}
for (int mask = 1; mask <= max_mask; mask++) {
for (int i = 0; i < n; i++) {
if ((mask & (1 << i)) != 0) {
for (int j = 0; j < n; j++) {
if ((mask & (1 << j)) != 0 && dp[mask ^ (1 << i)][j] != INF) {
dp[mask][i] = std::min(dp[mask][i], dp[mask ^ (1 << i)][j] + adj[j][i]);
}
}
}
}
}
int64_t res = INF;
for (int i = 0; i < n; i++) {
res = std::min(res, dp[max_mask][i]);
}
int mask = max_mask, old = -1;
for (int i = n - 1; i >= 0; i--) {
int best = -1;
for (int j = 0; j < n; j++) {
if ((mask & (1 << j)) != 0 &&
(best == -1 || dp[mask][best] + (old == -1 ? 0 : adj[best][old]) >
dp[mask][j] + (old == -1 ? 0 : adj[j][old]))) {
best = j;
}
}
path[i] = best;
mask ^= 1 << best;
old = best;
}
return res;
}
int64_t shortest_hamiltonian_cycle() {
int n = static_cast<int>(adj.size());
assert(n >= 1);
if (n == 1) {
path = {0};
return 0;
}
int max_mask = (1 << n) - 1;
dp.assign(max_mask + 1, std::vector<int64_t>(n, INF));
path.assign(n, 0);
dp[1][0] = 0;
for (int mask = 1; mask <= max_mask; mask += 2) {
for (int i = 1; i < n; i++) {
if ((mask & (1 << i)) != 0) {
for (int j = 0; j < n; j++) {
if ((mask & (1 << j)) != 0 && dp[mask ^ (1 << i)][j] != INF) {
dp[mask][i] = std::min(dp[mask][i], dp[mask ^ (1 << i)][j] + adj[j][i]);
}
}
}
}
}
int64_t res = INF;
for (int i = 1; i < n; i++) {
res = std::min(res, dp[max_mask][i] + adj[i][0]);
}
int mask = max_mask, old = 0;
for (int i = n - 1; i >= 1; i--) {
int best = -1;
for (int j = 1; j < n; j++) {
if ((mask & (1 << j)) != 0 &&
(best == -1 || dp[mask][best] + adj[best][old] > dp[mask][j] + adj[j][old])) {
best = j;
}
}
path[i] = best;
mask ^= 1 << best;
old = best;
}
return res;
}
/*** Example Usage and Output:
Shortest Hamiltonian path length: 3
Path: 0->1->2
Shortest Hamiltonian cycle length: 6
Cycle: 0->1->2->0
***/
#include <iostream>
using namespace std;
int main() {
int nodes = 3;
adj.assign(nodes, std::vector<int64_t>(nodes));
adj[0][1] = 1;
adj[0][2] = 1;
adj[1][0] = 7;
adj[1][2] = 2;
adj[2][0] = 3;
adj[2][1] = 5;
cout << "Shortest Hamiltonian path length: " << shortest_hamiltonian_path() << endl;
cout << "Path: " << path[0];
for (int i = 1; i < nodes; i++) {
cout << "->" << path[i];
}
cout << "\n\n";
cout << "Shortest Hamiltonian cycle length: " << shortest_hamiltonian_cycle() << endl;
cout << "Cycle: ";
for (int i = 0; i < nodes; i++) {
cout << path[i] << "->";
}
cout << path[0] << endl;
return 0;
}