leetcode之Binary Search Tree Iterator
2016-02-27 10:36
417 查看
题目:
Implement an iterator over a binary search tree (BST). Your iterator will be initialized with the root node of a BST.
Calling
Note:
run in average O(1) time and uses O(h) memory, where h is the height of the tree.
解答:
由于BST的中序遍历就是从小到大的顺序, 所以直接进行中序遍历即可,为了满足复杂度要求,需要将递归改为迭代过程,用栈实现
/**
* Definition for binary tree
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class BSTIterator {
public:
BSTIterator(TreeNode *root) {
if(!root)
return;
while(root)
{
st.push(root);
root = root->left;
}
}
/** @return whether we have a next smallest number */
bool hasNext() {
return !st.empty();
}
/** @return the next smallest number */
int next() {
if(BSTIterator :: hasNext())
{
int res = st.top()->val;
TreeNode *tmp = st.top();
st.pop();
if(tmp->right)
{
tmp = tmp->right;
while(tmp)
{
st.push(tmp);
tmp = tmp->left;
}
}
return res;
}
}
private:
stack<TreeNode*> st;
};
/**
* Your BSTIterator will be called like this:
* BSTIterator i = BSTIterator(root);
* while (i.hasNext()) cout << i.next();
*/
Implement an iterator over a binary search tree (BST). Your iterator will be initialized with the root node of a BST.
Calling
next()will return the next smallest number in the BST.
Note:
next()and
hasNext()should
run in average O(1) time and uses O(h) memory, where h is the height of the tree.
解答:
由于BST的中序遍历就是从小到大的顺序, 所以直接进行中序遍历即可,为了满足复杂度要求,需要将递归改为迭代过程,用栈实现
/**
* Definition for binary tree
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class BSTIterator {
public:
BSTIterator(TreeNode *root) {
if(!root)
return;
while(root)
{
st.push(root);
root = root->left;
}
}
/** @return whether we have a next smallest number */
bool hasNext() {
return !st.empty();
}
/** @return the next smallest number */
int next() {
if(BSTIterator :: hasNext())
{
int res = st.top()->val;
TreeNode *tmp = st.top();
st.pop();
if(tmp->right)
{
tmp = tmp->right;
while(tmp)
{
st.push(tmp);
tmp = tmp->left;
}
}
return res;
}
}
private:
stack<TreeNode*> st;
};
/**
* Your BSTIterator will be called like this:
* BSTIterator i = BSTIterator(root);
* while (i.hasNext()) cout << i.next();
*/
相关文章推荐
- 只有程序员看的懂的面试圣经|如何拿下编程面试
- 下一次技术面试时要问的 3 个重要问题
- 书评:《算法之美( Algorithms to Live By )》
- 动易2006序列号破解算法公布
- Ruby实现的矩阵连乘算法
- C#插入法排序算法实例分析
- PHP程序员面试 切忌急功近利(更需要注重以后的发展)
- 超大数据量存储常用数据库分表分库算法总结
- C#数据结构与算法揭秘二
- C#冒泡法排序算法实例分析
- 算法练习之从String.indexOf的模拟实现开始
- C#算法之关于大牛生小牛的问题
- C#实现的算24点游戏算法实例分析
- c语言实现的带通配符匹配算法
- 浅析STL中的常用算法
- 算法之排列算法与组合算法详解
- C++实现一维向量旋转算法
- Ruby实现的合并排序算法
- C#折半插入排序算法实现方法
- 基于C++实现的各种内部排序算法汇总