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 methods stack may get very deep.
2) After step 1 sum of left boundary will be stored, now for right part again do the same procedure but now keep going to right as long as right child is available, if not then go to left child and follow same procedure of going right until you reach a leaf node. After above 2 s...
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2) Overlapping Subproblems Following is recursive implementation that simply follows the recursive structure mentioned above. Dynamic Programming Solution Following is C/C++ implementation for optimal BST problem using Dynamic Programming. We use an auxiliary array cost[n][n] to store the solutions of s...
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[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 ...
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— Create the structure but no data create table MyCustomer AS Select Cust_ID, Cust_First_Name, Cust_Last_Name FROM sh.Customers where ROWNUM < 0; SELECT * FROM MyCustomer; DROP TABLE MyCustomer; — Create both structure and bring data ...
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[GeeksForGeeks] Perfect Binary Tree 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....