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Both solution 1 and 2's runtime are O(n), n is the total number of nodes in the given binary tree. Solution 1 uses O(n) extra memory for the queue used, where solution 2 only uses O(1) memory for each recursive call. But the downside of the recursive solution is the the method...
Given a Binary Tree, write a function to check whether the given Binary Tree is a prefect Binary Tree or not. A Binary tree is Perfect Binary Tree in which all internal nodes have two children and all leaves are at same level. 1classSubTreeInfo {2booleanisPerfect;3intheight;4SubTreeInfo(...
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for(int i=begin; i<=end; i++){ sum += freq[i]; } return sum; } // The main function that calculates minimum cost of a Binary Search Tree. // It mainly uses optCost() to find the optimal cost. public static int optimalSearchTreeRec(int[] keys, int[] freq, int n){ ...
[geeksforgeeks] Bottom View of a Binary Tree Bottom View of a Binary Tree Given a Binary Tree, we need to print the bottom view from left to right. A node x is there in output if x is the bottommost node at its horizontal distance. Horizontal distance of left child of a node x ...
#1. DEPTH FIRST SEARCH Brilliant Hackerearth Wikipedia #2. TREE TRAVERSAL Wikibooks ODSA book on Binary Tree traversal #3. BOOKS ON ALGORITHMS Oreilly Coursera #4. APPLICATIONS OF DFS Applications of Depth First Search on geeksforgeeks
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