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Reconstruct Itinerary Visualizer & Solution | Rulcode

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199. Reconstruct Itinerary

Hard

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Example 1:

Input: tickets = [["MUC","LHR"],["JFK","MUC"],["SFO","SJC"],["LHR","SFO"]]

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

Explanation: Starting at "JFK", the only available flight is to "MUC". From "MUC", the only flight is to "LHR". This continues until all flights are used, resulting in the unique path ["JFK","MUC","LHR","SFO","SJC"].

Example 2:

Input: tickets = [["JFK","SFO"],["JFK","ATL"],["SFO","ATL"],["ATL","JFK"],["ATL","SFO"]]

Output: ["JFK","ATL","JFK","SFO","ATL","SFO"]

Explanation: Starting at "JFK", we have options "ATL" and "SFO". Since "ATL" is lexicographically smaller than "SFO", we prioritize the path "JFK" → "ATL". From "ATL", we again have options "JFK" and "SFO", picking "JFK". This greedy choice, combined with backtracking, explores paths until a valid itinerary using all tickets is found, leading to the lexicographically smallest one.

Constraints:

Time Complexity

O(N log N + N^2)

Space Complexity

O(N)

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rulcode

199. Reconstruct Itinerary

Hard

Topics

Companies

Hint

Understand Before Coding

Visualize This Problem

Open Visualizer

Draw Your Approach

Draw

Example 1:

Input: tickets = [["MUC","LHR"],["JFK","MUC"],["SFO","SJC"],["LHR","SFO"]]

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

Example 2:

Input: tickets = [["JFK","SFO"],["JFK","ATL"],["SFO","ATL"],["ATL","JFK"],["ATL","SFO"]]

Output: ["JFK","ATL","JFK","SFO","ATL","SFO"]

Constraints:

Time Complexity

O(N log N + N^2)

Space Complexity

O(N)

199. Reconstruct Itinerary

Understand Before Coding

Visualize This Problem

Draw Your Approach

Example 1:

Example 2:

Constraints:

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199. Reconstruct Itinerary

Understand Before Coding

Visualize This Problem

Draw Your Approach

Example 1:

Example 2:

Constraints:

Learn

Topics

Companies

Hint

Use Cases