95. Unique Binary Search Trees II
Given an integern, generate all structurally uniqueBST's(binary search trees) that store values 1...n.
For example,
Givenn= 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
Analysis:
Divide and conquer approach. We pick a number i from 1 to n, call genTree(1, i-1), genTree(i+1, n) to generates all of its left tree and right tree's root. Then we do combination of these 2 list.
Complexity:
Time: O(2^n)
Space:
Code:
/**
* 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<TreeNode> generateTrees(int n) {
if(n==0)
{
return new ArrayList<TreeNode>();
}
return genTree(1, n);
}
private List<TreeNode> genTree(int s, int e)
{
if(s > e)
{
return new ArrayList<TreeNode>();
}
List<TreeNode> returnList = new ArrayList<TreeNode>();
for(int i=s; i<=e; i++)
{
List<TreeNode> left = genTree(s, i-1);
List<TreeNode> right = genTree(i+1, e);
if(left.size() == 0 && right.size() == 0)
{
returnList.add(new TreeNode(i));
}
else if(left.size() == 0)
{
for(TreeNode itr : right)
{
TreeNode root = new TreeNode(i);
root.right = itr;
returnList.add(root);
}
}
else if(right.size() == 0)
{
for(TreeNode itr : left)
{
TreeNode root = new TreeNode(i);
root.left = itr;
returnList.add(root);
}
}
else
{
for(TreeNode lnode : left)
{
for(TreeNode rnode : right)
{
TreeNode root = new TreeNode(i);
root.left = lnode;
root.right = rnode;
returnList.add(root);
}
}
}
}
return returnList;
}
}