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Explain Space Complexity
Space Complexity :- The space complexity of an algorithm is the amount of memory it requires to run to completion. Some of the reasons to study space complexity are: -
There may be various possible solutions with in dissimilar space requirement.
To estimate the size of the largest problem that a program can solve.
Explain binary search with an example
Graph Traversal In many problems we wish to investigate all the vertices in a graph in some systematic order. In graph we often do not have any single vertex singled out as spe
Memory Allocation Strategies If it is not desirable to move blocks of due storage from one area of memory to another, it must be possible to relocate memory blocks that have be
Aa) Come up with an ERD from the following scenario, clearly stating all entities, attributes, relationships before final sketch of the ERD: [50 m
Program: Creation of a Circular linked list ALGORITHM (Insertion of an element into a Circular Linked List) Step 1 Begin Step 2 if the list is empty or new
If a Dequeue is implemented via arrays, then this will suffer with the similar problems which a linear queue had suffered. Program 8 gives the array implementation of Dequeue.
Describe Binary Search Tree (BST)? Make a BST for the given sequence of numbers. 45, 36, 76, 23, 89, 115, 98, 39, 41, 56, 69, 48 Traverse the obtained tree in Preorder, Inord
Suppose there are exactly five packet switches (Figure 4) between a sending host and a receiving host connected by a virtual circuit line (shown as dotted line in figure 4). The tr
C compiler does not verify the bounds of arrays. It is your job to do the essential work for checking boundaries wherever required. One of the most common arrays is a string tha
Use a random number generator to create 10 numbers between 1 and 1000 and store them in 2 different arrays. The first array should contain the numbers as they are generated. The
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