Knowee
Questions
Features
Study Tools

Retrieval operation is fastest in which data structure a) Heapb) Stack c) Linked list d) None

Question

Retrieval operation is fastest in which data structure

a) Heap
b) Stack
c) Linked list
d) None

🧐 Not the exact question you are looking for?Go ask a question

Solution

The retrieval operation is fastest in a Stack data structure.

Here's why:

a) Heap: A heap is a complete binary tree and is particularly useful in algorithms involving sorting and priority queues. However, retrieval operations are not the fastest in a heap because elements are not stored in a specific order that allows for fast retrieval.

b) Stack: A stack follows the Last-In-First-Out (LIFO) principle. This means that the last element inserted is the first one to be retrieved, which makes retrieval operations very fast. In fact, it takes constant O(1) time complexity.

c) Linked list: In a linked list, elements are linked using pointers. Retrieval operations in a linked list are not the fastest because you have to traverse the list from the head to get to an element, which can take linear O(n) time in the worst case.

d) None: This is not a data structure.

So, the answer is b) Stack.

This problem has been solved

Similar Questions

A singly linked list is most efficient for ____________ operations? Accessing Inserting Searching Traversing

In which data structure is a binary search typically performed?Group of answer choicesStackLinked ListQueueArray

The heap data structure is the most efficient way of implementing the ..................a)None of the mentionedb)Priority queuec)Back queued)Front queue

A stack is implemented as a singly linked list. Which operation is the most expensive in terms of time complexity?PushPopPeekNone of the above

Which data structure is known for its fast random access but has a fixed size once allocated?*1 pointa. Arrayb. Queuec. Linked List

1/3

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.