Letcode-Top 100二叉树专题

94. 二叉树的中序遍历

在这里插入图片描述
方法一:递归法

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode() {}
 *     TreeNode(int val) { this.val = val; }
 *     TreeNode(int val, TreeNode left, TreeNode right) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */
class Solution {
    public List<Integer> inorderTraversal(TreeNode root) {
        List<Integer> arraylist=new ArrayList<>();
        if(root==null){
            return arraylist;
        }

        Stack<TreeNode> stack=new Stack<TreeNode>();
        TreeNode current=root;
        while(current!=null||!stack.isEmpty()){
            while(current!=null){
                stack.push(current);
                current=current.left;
            }
            current=stack.pop();
            arraylist.add(current.val);
            current=current.right;


        }
        return arraylist;
    }
}

方法二:迭代法

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 * int val;
 * TreeNode left;
 * TreeNode right;
 * TreeNode() {}
 * TreeNode(int val) { this.val = val; }
 * TreeNode(int val, TreeNode left, TreeNode right) {
 * this.val = val;
 * this.left = left;
 * this.right = right;
 * }
 * }
 */
class Solution {
    public List<Integer> inorderTraversal(TreeNode root) {
        // 中序遍历
        List<Integer> res = new ArrayList<Integer>();
        inorderTraversal(root, res);
        return res;
    }

    public void inorderTraversal(TreeNode node, List<Integer> res) {
        if (node == null) {
            return;
        }

        inorderTraversal(node.left, res);
        res.add(node.val);
        inorderTraversal(node.right, res);

    }

}

104. 二叉树的最大深度

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方法一:递归方法

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode() {}
 *     TreeNode(int val) { this.val = val; }
 *     TreeNode(int val, TreeNode left, TreeNode right) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */
class Solution {
    public int maxDepth(TreeNode root) {
        if(root==null){
            return 0;
        }else {
            int leftLength = maxDepth(root.left)+1;
            int rightLength = maxDepth(root.right)+1;
            return Math.max(leftLength,rightLength);
        }

    }
}

方法二:层序遍历

class Solution {
    public int maxDepth(TreeNode root) {
        if (root == null) {
            return 0;
        }

        int ans = 0;
        int size = 0;
        LinkedList<TreeNode> queue = new LinkedList<TreeNode>();
        queue.add(root);
        while (!queue.isEmpty()) {
            size = queue.size();
            while (size > 0) {
                root = queue.poll();
                if (root.left != null) {
                    queue.offer(root.left);
                }
                if (root.right != null) {
                    queue.offer(root.right);
                }
                size--;
            }
            ans++;
        }

        return ans;

    }
}

226. 翻转二叉树

在这里插入图片描述
方法一:递归

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode() {}
 *     TreeNode(int val) { this.val = val; }
 *     TreeNode(int val, TreeNode left, TreeNode right) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */
class Solution {
    public int maxDepth(TreeNode root) {
        if(root==null){
            return 0;
        }else {
            int leftLength = maxDepth(root.left)+1;
            int rightLength = maxDepth(root.right)+1;
            return Math.max(leftLength,rightLength);
        }

    }
}

方法二:迭代

class Solution {
    public TreeNode invertTree(TreeNode root) {
        if (root == null) {
            return null;
        }

        TreeNode node = root;
        Queue<TreeNode> queue = new LinkedList<TreeNode>();
        queue.add(node);

        int size = 0;
        while (!queue.isEmpty()) {
            size = queue.size();
            while (size > 0) {
                TreeNode temp = queue.poll();
                TreeNode left = temp.left;
                if (left != null) {
                    queue.offer(left);

                }
                TreeNode right = temp.right;
                if (right != null) {
                    queue.offer(right);

                }
                temp.left = right;
                temp.right = left;
                size--;
            }
        }
        return root;

    }
}

101. 对称二叉树

在这里插入图片描述
方法一:递归

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 * int val;
 * TreeNode left;
 * TreeNode right;
 * TreeNode() {}
 * TreeNode(int val) { this.val = val; }
 * TreeNode(int val, TreeNode left, TreeNode right) {
 * this.val = val;
 * this.left = left;
 * this.right = right;
 * }
 * }
 */
class Solution {
    public boolean isSymmetric(TreeNode root) {
        if (root == null) {
            return true;
        }

        return isSymmetric(root.left,root.right);

    }



        public boolean isSymmetric(TreeNode left,TreeNode right) {
            if(left==null&&right==null){
                return true;
            }

            if(left==null|| right==null){
                return false;
            }

            if(left.val!=right.val){
                return false;
            }


            return isSymmetric(left.left,right.right)&& isSymmetric(left.right,right.left);

        }

}

方法二:迭代

class Solution {
    public boolean isSymmetric(TreeNode root) {
        if (root == null) {
            return true;
        }

        return isSymmetric(root.left, root.right);

    }

    public boolean isSymmetric(TreeNode left, TreeNode right) {
        Queue<TreeNode> queue = new LinkedList<TreeNode>();
        queue.offer(left);
        queue.offer(right);

        while (!queue.isEmpty()) {
            left = queue.poll();
            right = queue.poll();

            if (left == null && right == null) {
                continue;
            }

            if (left == null || right == null || left.val != right.val) {
                return false;
            }

            queue.offer(left.left);
            queue.offer(right.right);

            queue.offer(left.right);
            queue.offer(right.left);

        }

        return true;

    }

}

543. 二叉树的直径

在这里插入图片描述
方法一:递归

class Solution {
    int ans = 0;
    public int diameterOfBinaryTree(TreeNode root) {
        diameterOfBinaryTreePLus(root);
        return ans;


    }


    public int diameterOfBinaryTreePLus(TreeNode root) {
        if(root==null){
            return 0;
        }

        int left =  diameterOfBinaryTreePLus(root.left);
        int right = diameterOfBinaryTreePLus(root.right);
        ans = Math.max(ans,left+right);
        
        return Math.max(left+1,right+1);


    }
}

102. 二叉树的层序遍历

在这里插入图片描述

class Solution {
    public List<List<Integer>> levelOrder(TreeNode root) {
        List<List<Integer>> result = new ArrayList<List<Integer>>();
        if (root == null) {
            return result;
        }

        Queue<TreeNode> queue = new LinkedList<TreeNode>();
        queue.offer(root);
        int size = 0;
        while (!queue.isEmpty()) {
            size = queue.size();
            List<Integer> list = new ArrayList<Integer>();

            while (size > 0) {
                TreeNode node = queue.poll();
                list.add(node.val);

                if (node.left != null) {
                    queue.offer(node.left);
                }

                if (node.right != null) {
                    queue.offer(node.right);
                }

                size--;

                if (size == 0) {
                    result.add(list);
                }

            }

        }

        return result;

    }
}

108. 将有序数组转换为二叉搜索树

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class Solution {
    public TreeNode sortedArrayToBST(int[] nums) {
        return sortedArrayToBST(nums,0,nums.length-1);
    }


    public TreeNode sortedArrayToBST(int[] nums,int left,int right){
        if(left>right){
            return null;
        }

        int mid = (left+right)/2;

        TreeNode root = new TreeNode(nums[mid]);
        root.left =  sortedArrayToBST(nums,left,mid-1);
        root.right = sortedArrayToBST(nums,mid+1,right);
        return root;

    }
}

98. 验证二叉搜索树

在这里插入图片描述
方法一:递归

初始错误写法

class Solution {
    public boolean isValidBST(TreeNode root) {
        if (root == null) {
            return true;
        }

        if (root.left != null) {
            if (root.left.val >= root.val) {
                return false;
            }
        }

        if (root.right != null) {
            if (root.right.val <= root.val) {
                return false;
            }
        }

        boolean left = isValidBST(root.left);
        boolean right = isValidBST(root.right);
        return left && right;

    }
}

在这里插入图片描述
正确写法

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 * long val;
 * TreeNode left;
 * TreeNode right;
 * TreeNode() {}
 * TreeNode(long val) { this.val = val; }
 * TreeNode(long val, TreeNode left, TreeNode right) {
 * this.val = val;
 * this.left = left;
 * this.right = right;
 * }
 * }
 */
class Solution {
    public boolean isValidBST(TreeNode root) {
        if (root == null) {
            return true;
        }

        return isValidBSTPlus(root,Long.MIN_VALUE,Long.MAX_VALUE);

    }


    public boolean isValidBSTPlus(TreeNode root,long min,long max) {
        if (root == null) {
            return true;
        }

        if (root.left != null) {
            if (root.left.val >= root.val) {
                return false;
            }
        }

        if (root.right != null) {
            if (root.right.val <= root.val) {
                return false;
            }
        }

        if(root.val>=max || root.val<=min){
            return false;
        }

        boolean left = isValidBSTPlus(root.left,min,root.val);
        boolean right = isValidBSTPlus(root.right,root.val,max);
        return left && right;

    }
}


方法二:中序遍历

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 * int val;
 * TreeNode left;
 * TreeNode right;
 * TreeNode() {}
 * TreeNode(int val) { this.val = val; }
 * TreeNode(int val, TreeNode left, TreeNode right) {
 * this.val = val;
 * this.left = left;
 * this.right = right;
 * }
 * }
 */
class Solution {
    public boolean isValidBST(TreeNode root) {

        long limit = Long.MIN_VALUE;

        Stack<TreeNode> stack = new Stack<TreeNode>();
        TreeNode currentNode = root;
        while (currentNode != null || !stack.isEmpty()) {
            while (currentNode != null) {
                stack.push(currentNode);
                currentNode = currentNode.left;
            }

            currentNode = stack.pop();
            if (currentNode.val <= limit) {
                return false;
            }

            limit = currentNode.val;
            currentNode = currentNode.right;
        }

        return true;

    }
}

230. 二叉搜索树中第K小的元素

在这里插入图片描述
方法一:排序

class Solution {
    List<Integer> list = new ArrayList<>();
    public int kthSmallest(TreeNode root, int k) {
        sort(root);
        return list.get(k-1);
    }

    void sort(TreeNode root){
        if(root==null){
            return;
        }

        sort(root.left);
        list.add(root.val);
        sort(root.right);



    }
}

方法二:迭代

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 * int val;
 * TreeNode left;
 * TreeNode right;
 * TreeNode() {}
 * TreeNode(int val) { this.val = val; }
 * TreeNode(int val, TreeNode left, TreeNode right) {
 * this.val = val;
 * this.left = left;
 * this.right = right;
 * }
 * }
 */
class Solution {
    public int kthSmallest(TreeNode root, int k) {

        TreeNode curNode = root;
        Stack<TreeNode> stack = new Stack<TreeNode>();
        while (!stack.isEmpty()||curNode!=null) {
            while (curNode != null) {
                stack.push(curNode);
                curNode = curNode.left;
            }

            curNode = stack.pop();
            k--;
            if (k == 0) {
                return curNode.val;
            }

            curNode = curNode.right;


        }
        return curNode.val;
    }
}

199. 二叉树的右视图

在这里插入图片描述
方法一:层序遍历

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 * int val;
 * TreeNode left;
 * TreeNode right;
 * TreeNode() {}
 * TreeNode(int val) { this.val = val; }
 * TreeNode(int val, TreeNode left, TreeNode right) {
 * this.val = val;
 * this.left = left;
 * this.right = right;
 * }
 * }
 */
class Solution {
    public List<Integer> rightSideView(TreeNode root) {

        List<Integer> result = new ArrayList<Integer>();
        if (root == null) {
            return result;
        }

        TreeNode curNode = root;
        // 层序遍历
        Queue<TreeNode> queue = new LinkedList<TreeNode>();
        queue.add(curNode);
        int size = 0;
        while (!queue.isEmpty()) {
            size = queue.size();
            while (size > 0) {
                curNode = queue.poll();

                if (curNode.left != null) {
                    queue.offer(curNode.left);
                }

                if (curNode.right != null) {
                    queue.offer(curNode.right);
                }
                size--;

                if (size == 0) {
                    result.add(curNode.val);
                }
            }
        }
        return result;

    }
}

方法二:深度遍历 (根 右 左)

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 * int val;
 * TreeNode left;
 * TreeNode right;
 * TreeNode() {}
 * TreeNode(int val) { this.val = val; }
 * TreeNode(int val, TreeNode left, TreeNode right) {
 * this.val = val;
 * this.left = left;
 * this.right = right;
 * }
 * }
 */
class Solution {

    List<Integer> result = new ArrayList<Integer>();

    public List<Integer> rightSideView(TreeNode root) {
        sort(root, 0);
        return result;
    }

    public void sort(TreeNode root, Integer length) {
        if (root == null) {
            return;
        }

        if (length == result.size()) {
            result.add(root.val);
        }

        length++;
        sort(root.right, length);
        
        sort(root.left, length);
    }
}

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