18 Questions
What is a common misconception about bubble sort algorithm?
Ideal for large number of n
In the context of time complexity in algorithms, what is a common misconception about O(n^3)?
Typically used for linear search algorithms
Which of the following is an attribute of binary tree data structure?
Every node can have only one child
What is a common misconception regarding stack data structure?
Has a time complexity of O(n^2)
Considering the pseudocode examples provided, which of the following represents a tree-like hierarchical data structure?
Algorithm Algo3 function
What is a characteristic of quick sort algorithm as mentioned in the text?
"Divide and conquer" strategy used for sorting
What is the time complexity of the radix-sort algorithm when sorting data with unique keys?
O(nk)
In the context of sorting algorithms, what is the main advantage of using a merge sort over an insertion sort?
Better space complexity
When implementing a stack, which operation removes an element from the top of the stack?
pop()
What is a common drawback of using a linked list data structure over an array?
Slower access to elements
When constructing a binary tree, what is the maximum number of children a node can have?
2
Which operation in a binary tree traversal visits the nodes in the following order: left, right, root?
Post-order traversal
What data structure is best suited for representing a hierarchical relationship in which each element has one parent and multiple children?
Tree
In a binary tree, what is the maximum number of children that a node can have?
2
Which of the following best describes the time complexity of inserting an element into a stack with n elements?
$O(1)$
Considering the given array, what is the most suitable data structure for efficiently storing and accessing the elements [0, 0, 1, 4, 7, 16, 31, 64, 127]?
Array
What is the primary operation carried out in the following code snippet: x = y = z = 100;?
Assignment
If an algorithm has a time complexity of $O( ext{log} n)$, how does the time taken by the algorithm scale as n grows?
$O( ext{log} n)$
Test your knowledge on time complexity analysis of pseudocode and understanding function parameters in this quiz. Also, practice analyzing the time complexity of algorithms through provided examples.
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