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The complexity of searching an element from a set of n elements using Binary search algorithm is O(log n)
In internal sorting, all of the data to be sorted is obtainable in the high speed main memory of the computer. We will learn the methods of internal sorting which are following:
The searching technique that takes O (1) time to find a data is Hashing is used to find a data
Q. Explain what do we understand by Binary Search Tree (BST)? Make a BST for the following given sequence of the numbers. 45, 32, 90, 21, 78, 65, 87, 132, 90, 96, 41, 74, 92
The below figure illustrates the BOM (Bill of Materials) for product A. The MPS (Material requirements Planning) start row in the master production schedule for product A calls for
Example: Insertion of a key 33 into a B-Tree (w/split) Step 1: Search first node for key closet to 33. Key 30 was determined. Step 2: Node pointed through key 30, is se
So far, we now have been concerned only with the representation of single stack. What happens while a data representation is required for several stacks? Let us consider an array X
Q. The two Binary Trees are said to be similar if they are both empty or if they are both non- empty and left and right sub trees are similar. Write down an algorithm to determine
Step 1: Declare array 'k' of size 'n' i.e. k(n) is an array which stores all the keys of a file containing 'n' records Step 2: i←0 Step 3: low←0, high←n-1 Step 4: while (l
give some examples of least cost branch and bound method..
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