Lintcode-Max Tree

Given an integer array with no duplicates. A max tree building on this array is defined as follow:

  • The root is the maximum number in the array
  • The left subtree and right subtree are the max trees of the subarray divided by the root number.
Construct the max tree by the given array.
Example

Given [2, 5, 6, 0, 3, 1], the max tree is

              6

            /    \

         5       3

       /        /   \

     2        0     1

 

 

Challenge

O(n) time complexity

Analysis:

Recursion: use recursion method, in the worst case, the complexity is O(n^2).

Linear method: Refer to the analysis of some other people: http://www.meetqun.com/thread-3335-1-1.html

这个题Leetcode上没有,其实这种树叫做笛卡树( Cartesian tree)。直接递归建树的话复杂度最差会退化到O(n^2)。经典建树方法,用到的是单调堆栈。我们堆栈里存放的树,只有左子树,没有有子树,且根节点最大。
(1) 如果新来一个数,比堆栈顶的树根的数小,则把这个数作为一个单独的节点压入堆栈。
(2) 否则,不断从堆栈里弹出树,新弹出的树以旧弹出的树为右子树,连接起来,直到目前堆栈顶的树根的数大于新来的数。然后,弹出的那些数,已经形成了一个新的树,这个树作为新节点的左子树,把这个新树压入堆栈。

这样的堆栈是单调的,越靠近堆栈顶的数越小
最后还要按照(2)的方法,把所有树弹出来,每个旧树作为新树的右子树。

Solution:

 

 1 /**
 2  * Definition of TreeNode:
 3  * public class TreeNode {
 4  *     public int val;
 5  *     public TreeNode left, right;
 6  *     public TreeNode(int val) {
 7  *         this.val = val;
 8  *         this.left = this.right = null;
 9  *     }
10  * }
11  */
12 public class Solution {
13     /**
14      * @param A: Given an integer array with no duplicates.
15      * @return: The root of max tree.
16      */
17     public TreeNode maxTree(int[] A) {
18         if (A.length==0) return null;
19 
20         Stack<TreeNode> nodeStack = new Stack<TreeNode>();
21         nodeStack.push(new TreeNode(A[0]));
22         for (int i=1;i<A.length;i++)
23             if (A[i]<=nodeStack.peek().val){
24                 TreeNode node = new TreeNode(A[i]);
25                 nodeStack.push(node);
26             } else {
27                 TreeNode n1 = nodeStack.pop();
28                 while (!nodeStack.isEmpty() && nodeStack.peek().val < A[i]){
29                     TreeNode n2 = nodeStack.pop();
30                     n2.right = n1;
31                     n1 = n2;
32                 }
33                 TreeNode node = new TreeNode(A[i]);
34                 node.left = n1;
35                 nodeStack.push(node);
36             }
37         
38 
39         TreeNode root = nodeStack.pop();
40         while (!nodeStack.isEmpty()){
41             nodeStack.peek().right = root;
42             root = nodeStack.pop();
43         }
44 
45         return root;
46 
47     
48             
49             
50 
51     }
52 }

 

Solution 2 (recursion):

 1 /**
 2  * Definition of TreeNode:
 3  * public class TreeNode {
 4  *     public int val;
 5  *     public TreeNode left, right;
 6  *     public TreeNode(int val) {
 7  *         this.val = val;
 8  *         this.left = this.right = null;
 9  *     }
10  * }
11  */
12 public class Solution {
13     /**
14      * @param A: Given an integer array with no duplicates.
15      * @return: The root of max tree.
16      */
17     public TreeNode maxTree(int[] A) {
18         if (A.length==0) return null;
19 
20         TreeNode root = new TreeNode(A[0]);
21         for (int i=1;i<A.length;i++)
22             if (A[i]>root.val){
23                 TreeNode node = new TreeNode(A[i]);
24                 node.left = root;
25                 root = node;
26             } else insertNode(root,null,A[i]);
27 
28         return root;
29     }
30 
31     public void insertNode(TreeNode cur, TreeNode pre, int val){
32         if (cur==null){
33             TreeNode node = new TreeNode(val);
34             pre.right = node;
35             return;
36         }
37 
38         if (cur.val<val){
39             TreeNode node = new TreeNode(val);
40             pre.right = node;
41             node.left = cur;
42             return;
43         } else 
44             insertNode(cur.right,cur,val);
45     }
46 
47         
48 }

 

 

posted @ 2014-12-27 01:40  LiBlog  阅读(3771)  评论(1编辑  收藏  举报