mplement 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.
想法:因为next()和hasnext()规定的时间复杂度为O(1),而要求可以使用O(h)的memory.很容易想到用一个O(h)的stack来储存BST中的小数。
而初始化时,需要将h个小数放入stack中,可以选取BST中最左边的子节点,共h个,栈顶元素为最小元素。
每次next()取栈顶元素,并且将符合条件的值加入栈中。
class BSTIterator { private: stack<TreeNode*> st; public: BSTIterator(TreeNode *root) { find_left(root); } /** @return whether we have a next smallest number */ bool hasNext() { return !st.empty(); } /** @return the next smallest number */ int next() { TreeNode* top = st.top(); st.pop(); if (top->right != NULL) find_left(top->right); return top->val; } /** put all the left child() of root */ void find_left(TreeNode* root) { TreeNode* p = root; while (p) { st.push(p); p = p->left; } } };