Medium
,Tree
,DFS
,BFS
,Hash Table
1443. Minimum Time to Collect All Apples in a Tree
Given an undirected tree consisting of n
vertices numbered from 0
to n-1
, which has some apples in their vertices. You spend 1 second to walk over one edge of the tree. Return the minimum time in seconds you have to spend to collect all apples in the tree, starting at vertex 0 and coming back to this vertex.
The edges of the undirected tree are given in the array edges
, where edges[i]
= [hasApple[i]
= true
means that vertex i
has an apple; otherwise, it does not have any apple.
Example 1:
Input: n = 7, edges = [[0,1],[0,2],[1,4],[1,5],[2,3],[2,6]], hasApple = [false,false,true,false,true,true,false]
Output: 8
Explanation: The figure above represents the given tree where red vertices have an apple. One optimal path to collect all apples is shown by the green arrows.
Example 2:
Input: n = 7, edges = [[0,1],[0,2],[1,4],[1,5],[2,3],[2,6]], hasApple = [false,false,true,false,false,true,false]
Output: 6
Explanation: The figure above represents the given tree where red vertices have an apple. One optimal path to collect all apples is shown by the green arrows.
Example 3:
Input: n = 7, edges = [[0,1],[0,2],[1,4],[1,5],[2,3],[2,6]], hasApple = [false,false,false,false,false,false,false]
Output: 0
Constraints:
n
<= 105edges.length
== n
- 1edges[i].length
== 2n
- 1hasApple.length
== n
function minTime(n, edges, hasApple) {
const graph = new Array(n).fill(0).map(() => []);
for (const [v1, v2] of edges) {
graph[v1].push(v2);
graph[v2].push(v1);
}
return dfs(0, -1, graph, hasApple);
}
function dfs(node, parent, graph, hasApple) {
let totalTime = 0;
let childTime = 0;
for (const child of graph[node]) {
if (child === parent) continue;
childTime = dfs(child, node, graph, hasApple);
if (childTime || hasApple[child]) {
totalTime += childTime + 2;
}
}
return totalTime;
}
參考官網的解答寫的,第一次寫直接做dfs掃過一遍把有遇到蘋果的距離直接乘2,忘記會重複計算,有夠蠢。
MarsgoatFeb 20, 2023