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[Tony] WEEK 11 Solutions #547

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Oct 26, 2024
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24 changes: 24 additions & 0 deletions binary-tree-maximum-path-sum/TonyKim9401.java
Original file line number Diff line number Diff line change
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// TC: O(n)
// visit all nodes to find maximum path
// SC: O(h)
// h means the high of binary tree
class Solution {
private int output = Integer.MIN_VALUE;
public int maxPathSum(TreeNode root) {
max(root);
return output;
}

private int max(TreeNode node) {
if (node == null) return 0;

int leftSum = Math.max(max(node.left), 0);
int rightSum = Math.max(max(node.right), 0);

int currentMax = node.val + leftSum + rightSum;

output = Math.max(output, currentMax);

return node.val + Math.max(leftSum, rightSum);
}
}
37 changes: 37 additions & 0 deletions graph-valid-tree/TonyKim9401.java
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// TC: O(n * m)
// n = the length of edges, m = the length of each element list of edges
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시간 복잡도 판단에 대해 혹시 설명해주실 수 있을까요?
주석에서는(제가 이해하기로는) m이 각 노드에 연결된 엣지 수의 평균이라고 작성해 주신 것 같은데,
그렇다면 현재 문제에서 최대 엣지의 수가 n-1이라는 점을 고려하면 m은 결국 1(상수)가 되지 않을까요?

// SC: O(n)
// n = recursively visit everywhere
public class Solution {
public boolean validTree(int n, int[][] edges) {
if (edges.length != n - 1) return false;

List<List<Integer>> graph = new ArrayList<>();
for (int i = 0; i < n; i++) {
graph.add(new ArrayList<>());
}

for (int[] edge : edges) {
graph.get(edge[0]).add(edge[1]);
graph.get(edge[1]).add(edge[0]);
}

boolean[] visited = new boolean[n];
if (!dfs(0, -1, graph, visited)) return false;

for (boolean v : visited) if(!v) return false;

return true;
}

private boolean dfs(int node, int parent, List<List<Integer>> graph, boolean[] visited) {
visited[node] = true;

for (int neighbor : graph.get(node)) {
if (neighbor == parent) continue;
if (visited[neighbor]) return false;
if (!dfs(neighbor, node, graph, visited)) return false;
}
return true;
}
}
32 changes: 32 additions & 0 deletions insert-interval/TonyKim9401.java
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// TC: O(n)
// must retrieve all elements
// SC: O(n)
// need the same size of memory space in the worst case
class Solution {
public int[][] insert(int[][] intervals, int[] newInterval) {
List<int[]> output = new ArrayList<>();

int i = 0;
int n = intervals.length;

while (i < n && intervals[i][1] < newInterval[0]) {
output.add(intervals[i]);
i += 1;
}

while (i < n && intervals[i][0] <= newInterval[1]) {
newInterval[0] = Math.min(newInterval[0], intervals[i][0]);
newInterval[1] = Math.max(newInterval[1], intervals[i][1]);
i += 1;
}

output.add(newInterval);

while (i < n) {
output.add(intervals[i]);
i += 1;
}

return output.toArray(new int[output.size()][]);
}
}
15 changes: 15 additions & 0 deletions maximum-depth-of-binary-tree/TonyKim9401.java
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// TC: O(n)
// visiting all nodes
// SC: O(1)
// constant space complexity
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엇 재귀 스택도 고려해주셔야 할 것 같습니다!

class Solution {
public int maxDepth(TreeNode root) {
return getMax(root, 0);
}

private int getMax(TreeNode node, int depth) {
if (node == null) return depth;
depth += 1;
return Math.max(getMax(node.left, depth), getMax(node.right, depth));
}
}
34 changes: 34 additions & 0 deletions reorder-list/TonyKim9401.java
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// TC: O(n)
// -> find middle, reverse, merge -> max O(n)
// SC: O(1)
class Solution {
public void reorderList(ListNode head) {
if (head == null || head.next == null) return;

ListNode slow = head, fast = head;
while (fast != null && fast.next != null) {
slow = slow.next;
fast = fast.next.next;
}

ListNode backSide = null;
ListNode curr = slow.next;
slow.next = null;

while (curr != null) {
ListNode temp = curr.next;
curr.next = backSide;
backSide = curr;
curr = temp;
}

ListNode first = head;
ListNode second = backSide;
while (second != null) {
ListNode temp = first.next;
first.next = second;
first = second;
second = temp;
}
}
}