[LeetCode] 95. Unique Binary Search Trees II 唯一二叉搜索树 II

Given n, generate all structurally unique BST's (binary search trees) that store values 1...n.

For example,
Given n = 3, your program should return all 5 unique BST's shown below.

   1         3     3      2      1
           /     /      /       
     3     2     1      1   3      2
    /     /                        
   2     1         2                 3

confused what "{1,#,2,3}" means? > read more on how binary tree is serialized on OJ.

OJ's Binary Tree Serialization:

The serialization of a binary tree follows a level order traversal, where '#' signifies a path terminator where no node exists below.

Here's an example:

   1
  / 
 2   3
    /
   4
    
     5

The above binary tree is serialized as "{1,2,3,#,#,4,#,#,5}".

96. Unique Binary Search Trees 的扩展，96题只要算出所有不同BST的个数，这道题让把那些二叉树都表示出来。

用递归来解，划分左右子树，递归构造。

1. 根节点可以任取min ~ max (例如min = 1, max = n)，假如取定为i。
2. 则left subtree由min ~ i-1组成，假设可以有L种可能。right subtree由i+1 ~ max组成，假设有R种可能。生成所有可能的left/right subtree。
3 对于每个生成的left subtree/right subtree组合<T_left(p), T_right(q)>，p = 1...L，q = 1...R，添加上根节点i而组成一颗新树。

Python:

class TreeNode:
    def __init__(self, x):
        self.val = x
        self.left = None
        self.right = None
    
    def __repr__(self):
        if self:
            serial = []
            queue = [self]

            while queue:
                cur = queue[0]
                
                if cur:
                    serial.append(cur.val)
                    queue.append(cur.left)
                    queue.append(cur.right)
                else:
                    serial.append("#")
                
                queue = queue[1:]
                
            while serial[-1] == "#":
                serial.pop()
                
            return repr(serial)
                
        else:
            return None

class Solution:
    # @return a list of tree node
    def generateTrees(self, n):
        return self.generateTreesRecu(1, n)
    
    def generateTreesRecu(self, low, high):
        result = []
        if low > high:
            result.append(None)
        for i in xrange(low, high + 1):
            left = self.generateTreesRecu(low, i - 1)
            right = self.generateTreesRecu(i + 1, high)
            for j in left:
                for k in right:
                    cur = TreeNode(i)
                    cur.left = j
                    cur.right = k
                    result.append(cur)
        return result

C++:

class Solution {
public:
    vector<TreeNode *> generateTrees(int n) {
        return genBST(1, n);
    }
    
    vector<TreeNode *> genBST(int min, int max) {
        vector<TreeNode *> ret;
        if(min>max) {
            ret.push_back(NULL);
            return ret;
        }
        
        for(int i=min; i<=max; i++) {
            vector<TreeNode*> leftSubTree = genBST(min,i-1);
            vector<TreeNode*> rightSubTree = genBST(i+1,max);
            for(int j=0; j<leftSubTree.size(); j++) {
                for(int k=0; k<rightSubTree.size(); k++) {
                    TreeNode *root = new TreeNode(i);
                    root->left = leftSubTree[j];
                    root->right = rightSubTree[k];
                    ret.push_back(root);
                }
            }
        }
        
        return ret;
    }
};

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[LeetCode] 96. Unique Binary Search Trees 唯一二叉搜索树　

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