Leetcode Reconstruct Itinerary Java Solution

Leetcode Reconstruct Itinerary Java Solution

Given a list of airline tickets represented by pairs of departure and arrival airports [from, to], reconstruct the itinerary in order. All of the tickets belong to a man who departs from JFK. Thus, the itinerary must begin with JFK.

Note:

  1. If there are multiple valid itineraries, you should return the itinerary that has the smallest lexical order when read as a single string. For example, the itinerary ["JFK", "LGA"] has a smaller lexical order than ["JFK", "LGB"].
  2. All airports are represented by three capital letters (IATA code).
  3. You may assume all tickets form at least one valid itinerary.
  4. One must use all the tickets once and only once.

Example 1:

Input: [["MUC", "LHR"], ["JFK", "MUC"], ["SFO", "SJC"], ["LHR", "SFO"]]
Output: ["JFK", "MUC", "LHR", "SFO", "SJC"]

Example 2:

Input: [["JFK","SFO"],["JFK","ATL"],["SFO","ATL"],["ATL","JFK"],["ATL","SFO"]]
Output: ["JFK","ATL","JFK","SFO","ATL","SFO"]
Explanation: Another possible reconstruction is ["JFK","SFO","ATL","JFK","ATL","SFO"].
             But it is larger in lexical order.

Solution:
We will use the Eulerian Path algorithm.

Step 1: Build Graph using HashMap and store destinations using PriorityQueue, to maintain the lexical order of destinations.

Step 2: Perform a depth-first search and add the final destination first to the result and return the result.

class HackerHeap {
    HashMap<String, PriorityQueue<String>> map = new HashMap<String,PriorityQueue<String>>();

    LinkedList<String> result = new LinkedList<String>();
    
    public List<String> findItinerary(List<List<String>> tickets) {
       // Building The Graph
        for(List<String> ticket: tickets){
            if(!map.containsKey(ticket.get(0))) {
                PriorityQueue<String> q = new PriorityQueue<String>();
                map.put(ticket.get(0),q);
            }
            map.get(ticket.get(0)).offer(ticket.get(1));
        }
        dfs("JFK");
        return result;
    }
    
    public void dfs(String s) {
        PriorityQueue<String> q = map.get(s);
        
        while(q!=null && !q.isEmpty()) {
            dfs(q.poll());
        }
        result.addFirst(s);
    }
}