回溯法解332. Reconstruct Itinerary

来源:互联网 发布:linux taskset 编辑:程序博客网 时间:2024/05/19 14:01

题目

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: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”].All airports are represented by three capital letters (IATA code).You may assume all tickets form at least one valid itinerary.

Example 1:tickets = [[“MUC”, “LHR”], [“JFK”, “MUC”], [“SFO”, “SJC”], [“LHR”, “SFO”]]

Return [“JFK”, “MUC”, “LHR”, “SFO”, “SJC”].

Example 2:tickets = [[“JFK”,”SFO”],[“JFK”,”ATL”],[“SFO”,”ATL”],[“ATL”,”JFK”],[“ATL”,”SFO”]]

Return [“JFK”,”ATL”,”JFK”,”SFO”,”ATL”,”SFO”].

Another possible reconstruction is [“JFK”,”SFO”,”ATL”,”JFK”,”ATL”,”SFO”]. But it is larger in lexical order.

题意分析

题目意思是说,给定一系列的飞机出发地和飞机目的地,求从JFK出发的行程,这个行程的结果要求是最小序列(如果有多个可能行程序列的话)

思路分析

这道题跟course schedule的思路分析相似,course schedule的解法是针对点的dfs,这道题解法是针对边的dfs,在这里提供另外一种类似的思路,利用栈来进行回溯,因为题目要求是最小序列,因此可以使用multiset来存储这个图。开始遍历图中的边,只要图中的边没有遍历完,那么就把遍历到的点加进栈中,然后继续遍历,最后把栈的点依次加入到vector的首位,则得到最终结果

AC代码

class Solution {public:    vector<string> findItinerary(vector<pair<string, string>> tickets) {        vector<string> result;        stack<string> backtrack;        backtrack.push("JFK");        unordered_map<string, multiset<string>> mapstr;        for (int i = 0; i < tickets.size(); ++i) {            mapstr[tickets[i].first].insert(tickets[i].second);        }        while (!backtrack.empty()) {            string currentdes = backtrack.top();            if (mapstr[currentdes].empty()) {                result.insert(result.begin(), currentdes);                backtrack.pop();            } else {                backtrack.push(*mapstr[currentdes].begin());                mapstr[currentdes].erase(mapstr[currentdes].begin());            }        }        return result;    }};
原创粉丝点击