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In this unit, we described about the data structure Queue. It had two ends. One is front from where the elements can be removed and the other is rear where the elements can be inserted. A queue can be implemented via Arrays or Linked lists. Each illustration is having it's own advantages & disadvantages. The problems along arrays are that they are restricted in space. Therefore, the queue is having a restricted capacity. If queues are implemented via linked lists, then this problem is solved. Now, there is no restriction on the capacity of the queue. The only overhead is the memory occupied though the pointers.
There are a number of variants of the queues. Queues normally mean circular queues. In spite of linear queues, we also discussed circular queues in this unit. A particular type of queue called Dequeue was also discussed in this unit. Dequeues allows elements to be inserted or deleted at either of the rear or front. We also discussed the array & linked list implementations of Dequeue.
A tree is a non-empty set one component of which is designated the root of the tree while the remaining components are partitioned into non-empty groups each of which is a subtree
Explain in detail the algorithmic implementation of multiple stacks.
Explain principle of Optimality It indicates that an optimal solution to any instance of an optimization problem is composed of optimal solutions to its subinstances.
example of stack using flowchart
For a queue a physical analogy is a line at booking counter. At booking counter, customers go to the rear (end) of the line & customers are attended to several services from the fr
Q. Write down an algorithm to sort a given list by making use of Quick sort method. Describe the behaviour of Quick sort when input given to us is already sorted.
what do you understand by structured programming?explain with eg. top down and bottem up programming technique
What are circular queues? Circular queue: Static queues have a very large drawback that once the queue is FULL, even though we erase few elements from the "front" and relieve
Best Case: If the list is sorted already then A[i] T (n) = c1n + c2 (n -1) + c3(n -1) + c4 (n -1) = O (n), which indicates that the time complexity is linear. Worst Case:
You need to implement a function which will write out a given user-specified memory location to disk in base 10. That means that you have to convert the large number data structure
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