Leetcode 112. Path Sum Java Solution
Problem
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Problem Solving Approach
The objective of this problem is to check whether there is a path in the given binary tree from the root to a leaf node whose sum equals the given
targetSum
.Therefore, this code recursively explores paths in the given binary tree and checks if the path sum matches the
targetSum
.
Algorithm
Recursion:
The
hasPathSum
function is called recursively.This function subtracts the value of the current node from
targetSum
and uses the result as the newtargetSum
.
Base Case:
At the start of the recursive call, it checks if the current node is
null
to determine if it has reached the end of the tree.If it's
null
, the current path is not valid, so it returnsfalse
.
Leaf Node Check:
It checks if the current node is a leaf node, meaning it has no children.
If the current node is a leaf node, it checks if
targetSum
is equal to 0.If
targetSum
is 0, it means that the current path's sum matches thetargetSum
, so it returnstrue
.
Recursive Calls for Left and Right Subtrees:
- If the current node is not a leaf node, it makes recursive calls to the left and right subtrees using the modified
targetSum
value.
- If the current node is not a leaf node, it makes recursive calls to the left and right subtrees using the modified
Return Result:
If either the left or right subtree returns
true
, it means there exists a path in the current path that satisfies thetargetSum
, so it returnstrue
.Otherwise, it returns
false
.
Recursive Function Implementation Table
Base Case (Termination Conditions):
if root == null return false if left == null && right == null <- after subtracting root.val from sum return sum == 0
Is the previous step's result needed?: Yes
Problem Splitting (Divide the Problem):
sum -= root.val
Combining Results:
boolean left boolean right return left || right
Recursive Calls and Changes Before Moving to the Next Step (Recursive Call):
sum -= root.val
Github Link
https://github.com/eunhanlee/LeetCode_112_PathSum_Solution.git
Time Complexity: O(n), Space Complexity: O(h)
class Solution {
/**
* Checks if there is a path from the root to a leaf node in the given binary tree
* with a sum equal to the target sum.
*
* @param root The root node of the binary tree.
* @param targetSum The target sum to be achieved.
* @return Returns `true` if a path exists, `false` otherwise.
*/
public boolean hasPathSum(TreeNode root, int targetSum) {
if (root == null) {
return false;
}
// Subtract the value of the current node from the target sum.
targetSum -= root.val;
// Check if the current node is a leaf node and if the target sum is 0.
if (root.left == null && root.right == null) {
return targetSum == 0;
}
// Recursively check the left and right subtrees.
Boolean rightNode = hasPathSum(root.right, targetSum);
Boolean leftNode = hasPathSum(root.left, targetSum);
// Return `true` if there is a valid path in either the left or right subtree.
return rightNode || leftNode;
}
}
Time Complexity
- The time complexity of this code is O(n) because it visits all nodes in the tree exactly once, where n is the number of nodes in the tree.
Space Complexity
- Due to the recursive function calls, a call stack is built up, but it only requires space up to the height of the tree, so the space complexity is O(h), where h is the height of the tree.