What is Big O Notation and why is it important in analyzing algorithms?

Asymptotic Notations, Arrays and Linked List

Quiz
•
Computers
•
University
•
Medium
Raghavendrakumar Sakali
Used 2+ times
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21 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Big O Notation is primarily used for debugging code
Big O Notation is a programming language used for writing algorithms
Big O Notation is only relevant for small input sizes
Big O Notation is a mathematical notation that describes the limiting behavior of a function when the argument tends towards a particular value or infinity. It is important in analyzing algorithms because it helps in understanding how the runtime or space complexity of an algorithm grows as the input size increases.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Differentiate between a Singly Linked List and a Doubly Linked List.
Singly Linked List: Each node points to both the next and previous nodes. Doubly Linked List: Each node points to the next node.
Singly Linked List: Each node points to the next node. Doubly Linked List: Each node points to both the next and previous nodes.
Singly Linked List: Each node points to a random node. Doubly Linked List: Each node points to both the next and previous nodes.
Singly Linked List: Each node points to the previous node. Doubly Linked List: Each node points to the next node only.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Discuss the advantages and disadvantages of using an Array compared to a Linked List.
Arrays allow for efficient insertion/deletion, but have slower access time compared to Linked Lists.
Arrays provide constant-time access, but have fixed size and inefficient insertion/deletion. Linked lists allow dynamic size and efficient insertion/deletion, but have slower access time.
Arrays have dynamic size and efficient insertion/deletion, but slower access time.
Linked lists provide constant-time access, but have fixed size and inefficient insertion/deletion.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is insertion performed in a Linked List? Explain with an example.
Inserting a new node in a Linked List requires creating a new node and setting its next pointer to null.
Insertion in a Linked List involves swapping the values of two nodes.
To insert a new node at the end of a Linked List, we remove the last node and add the new node after it.
To insert a new node at the beginning of a Linked List, let's say we have a Linked List with nodes A -> B -> C. If we want to insert a new node X at the beginning, we create node X and set its next pointer to point to A. Then, we update the head of the Linked List to point to X. Now, the Linked List becomes X -> A -> B -> C.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the different traversal techniques used in Linked Lists?
Backward traversal
Random traversal
Sequential traversal
Iterative traversal, Recursive traversal
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the time complexity of inserting an element at the beginning of a Linked List?
O(n^2)
O(log n)
O(n)
O(1)
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Compare the time complexity of accessing an element in an Array vs a Linked List.
Array has O(1) time complexity, Linked List has O(n) time complexity
Array has O(1) time complexity, Linked List has O(log n) time complexity
Array has O(log n) time complexity, Linked List has O(n) time complexity
Array has O(n) time complexity, Linked List has O(1) time complexity
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