Easy
https://leetcode.com/problems/path-sum-iii/
You are given a binary tree in which each node contains an integer value.
Find the number of paths that sum to a given value.
The path does not need to start or end at the root or a leaf, but it must go downwards (traveling only from parent nodes to child nodes).
The tree has no more than 1,000 nodes and the values are in the range -1,000,000 to 1,000,000.
Example:
root = [10,5,-3,3,2,null,11,3,-2,null,1], sum = 8 10 / \ 5 -3 / \ \ 3 2 11 / \ \ 3 -2 1 Return 3. The paths that sum to 8 are: 1. 5 -> 3 2. 5 -> 2 -> 1 3. -3 -> 11思路: do two recursion. different from pathSumII that start can be any node, so we have 1st recur.
1st: recursively travel tree to find answers of current node + ans of left child + ans of right child.
2nd: find the path from current node to child that adds up to sum
Complexity:
If the tree is balanced, then each node is reached from its ancestors (+ itself) only, which are up to
log n
. Thus, the time complexity for a balanced tree is O (n * log n)
.
However, in the worst-case scenario where the binary tree has the same structure as a linked list, the time complexity is indeed
O(H) space - height of binary treeO (n ^ 2)
public class Solution { public int pathSum(TreeNode root, int sum) { if (root == null)return 0; return helper(root,sum) + pathSum(root.left,sum) + pathSum(root.right,sum); //so total count will be countOf(hasRoot) + countOf(leftChild) + countOf(rightChild) } public int helper(TreeNode root,int sum){ int count = 0; if(root == null)return 0; if(root.val - sum == 0)count++; count += helper(root.left, sum - root.val); count += helper(root.right, sum - root.val); return count; } }
Version2 more comprehensive
public class Solution { int count = 0; public int pathSum(TreeNode root, int sum) { if (root == null)return 0; helper(root,sum); pathSum(root.left,sum); pathSum(root.right,sum); return count; } public void helper(TreeNode root,int sum){ if(root == null)return; if(root.val - sum == 0)count++; helper(root.left, sum - root.val); helper(root.right, sum - root.val); } }
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