94. Binary Tree Inorder Traversal
Given a binary tree, return the inorder traversal of its nodes' values.
For example:
Given binary tree [1,null,2,3],
1
\
2
/
3
return [1,3,2].
Note: Recursive solution is trivial, could you do it iteratively?
非递归前序遍历：
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public List<Integer> inorderTraversal(TreeNode root) {
List<Integer> result = new ArrayList<Integer>();
Stack<TreeNode> stack = new Stack<TreeNode>();
TreeNode hand = root;
while (hand != null) {
stack.push(hand);
hand = hand.left;
}
while (!stack.isEmpty()) {
TreeNode node = stack.pop();
result.add(node.val);
hand = node.right;
while (hand != null) {
stack.push(hand);
hand = hand.left;
}
}
return result;
}
}
103. Binary Tree Zigzag Level Order Traversal
Given a binary tree, return the zigzag level order traversal of its nodes' values. (ie, from left to right, then right to left for the next level and alternate between).
For example:
Given binary tree [3,9,20,null,null,15,7],
3
/ \
9 20
/ \
15 7
return its zigzag level order traversal as:
[
[3],
[20,9],
[15,7]
]
左子树根据长度创建完以后除了给出左子树的根节点还可以直接给出根节点（左子树的父节点）。
创建左子树的时候要不停地更新currentNode。
/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) { val = x; }
* }
*/
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
ListNode currentNode;
public TreeNode sortedListToBST(ListNode head) {
int length = 0;
ListNode hand = head;
while (hand != null) {
length++;
hand = hand.next;
}
currentNode = head;
return helper(length);
}
private TreeNode helper(int length) {
if (length == 0) {
return null;
}
if (length == 1) {
TreeNode result = new TreeNode(currentNode.val);
currentNode = currentNode.next;
return result;
}
if (length == 2) {
TreeNode l = new TreeNode(currentNode.val);
currentNode = currentNode.next;
TreeNode result = new TreeNode(currentNode.val);
currentNode = currentNode.next;
result.left = l;
return result;
}
if (length == 3) {
TreeNode l = new TreeNode(currentNode.val);
currentNode = currentNode.next;
TreeNode result = new TreeNode(currentNode.val);
currentNode = currentNode.next;
result.left = l;
TreeNode r = new TreeNode(currentNode.val);
currentNode = currentNode.next;
result.right = r;
return result;
}
TreeNode left = helper(length / 2);
TreeNode root = new TreeNode (currentNode.val);
currentNode = currentNode.next;
root.left = left;
root.right = helper(length - length / 2 - 1);
return root;
} }
148. Sort List
Sort a linked list in O(n log n) time using constant space complexity.
用mergesort做，跟上一题超级像。
144. Binary Tree Preorder Traversal
Given a binary tree, return the preorder traversal of its nodes' values.
For example:
Given binary tree {1,#,2,3},
1
\
2
/
3
return [1,2,3].
Note: Recursive solution is trivial, could you do it iteratively?
非递归前序遍历
用栈，先根节点入栈之后一个个pop出来，父节点打印，右节点入栈，左节点作为先一个hand，直到hand是null为止。
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {
if (root == null) {
return null;
}
if (p == root || q == root) {
return root;
}
TreeNode left = lowestCommonAncestor(root.left, p, q);
TreeNode right = lowestCommonAncestor(root.right, p, q);
if (left == null) {
return right;
} else if (right == null) {
return left;
} else {
return root;
}
}
}
255. Verify Preorder Sequence in Binary Search Tree
Given an array of numbers, verify whether it is the correct preorder traversal sequence of a binary search tree.
You may assume each number in the sequence is unique.
Follow up:
Could you do it using only constant space complexity?
解释参见grandyang的博客
[LeetCode] Verify Preorder Sequence in Binary Search Tree 验证二叉搜索树的先序序列
java代码如下：
public class Solution {
public boolean verifyPreorder(int[] preorder) {
Stack<Integer> stack = new Stack<Integer>();
int length = preorder.length;
if (length == 0) {
return true;
}
int low = Integer.MIN_VALUE;
int count = 0;
for (int i = 0; i < length; i++) {
int num = preorder[i];
if (num < low) {
return false;
}
while (count > 0 && preorder[count - 1] < num) {
count--;
low = preorder[count];
}
preorder[count] = num;
count++;
}
return true;
}
}