Finding out the time complexity of your code can help you develop better programs that run faster. Some functions are easy to analyze, but when you have loops, and recursion might get a little trickier when you have recursion. After reading this post, you are able to derive the time comple...
❓ FIND MIN DEPTH, MAX DEPTH, LEVEL AVERAGE OF BINARY TREE ⏰: O(n) 🪐: O(n) 🐣 Level Order Traversal, Zigzag Traversal, Level Averages in a Binary Tree, Minimum Depth of a Binary Tree, Level Order Successor, Connect Level Order Siblings, etc. Tree Breadth First Search? ...
class TreeNode: def __init__(self, x): self.val = x self.left = None self.right = None class Solution: isBalance = True def getTreeHeight(self, node): if node == None: return 0 leftHeight = self.getTreeHeight(node.left) rightHeight =self.getTreeHeight(node.right) if abs(left...
To address the PBFT algorithm’s shortcomings, many researchers have introduced credit mechanisms to improve the system’s security. On the one hand, these mechanisms preferentially select the high credit values’ nodes as the primary nodes; on the other hand, they divide nodes according to their ...
You are given a binary tree root representing a game state of a two person game. Every internal node is filled with an empty value of 0 while the leaves values represent the end score. You want to maximize the end score while your opponent wants to minim
This one is easy. Know what a Red-Black tree is, and what its worst-case height/insert/delete/find are. Read13.1and13.2, and skip the rest. You will never be asked for RB-tree insert/delete unless the interviewer is "doing it wrong", or if the interviewer wants to see if you can...
Splitting the root is the only way to increase the height of a B tree. Unlike a binary search tree, a B tree increases in height at the top instead of at the bottom. Afterwards, the procedure finishes by calling B – TREE – INSERT – NONFULL to perform the insertion of key k in ...
successor nodes (child nodes). A node without successors is called a leaf. All nodes are connected by edges. The depth of a node is the number of edges on the path to the root. The height of the entire tree is the number of edges along the longest path from the root to any leaf....
Choosing Minimum Width and Height We can now use a binary tree for packing small blocks into a fixed size rectangle. But what size should we choose to ensure that all of our sprites fit in as optimal way as possible ? I considered a number of heuristics. One such example might be to ...
class Solution { public: int findMaxLength(vector<int>& nums) { int n = nums.size(); if(n <= 1) return 0; //[j, i] //2(pre[i+1] - pre[j]) = i+1 -j //2pre[i+1] - (i+1) = 2pre[j] - j; unordered_map<int, int> mp; int pre = 0, res = 0; mp[0] =...