REFERENCE TEAM-ALGORITHEM

Create an abstract digital illustration showing a balanced binary tree and heap structures, with vibrant colors and a tech-inspired background.

Master Your Heaps: A Tree Algorithm Quiz

Test your knowledge of tree algorithms and heaps with our engaging quiz! This quiz covers essential concepts and practical applications to enhance your understanding of data structures.

Key Features:

  • Multiple-choice questions on heaps and tree heights.
  • Explore the intricacies of heap operations.
  • Assess your algorithm skills!
13 Questions3 MinutesCreated by ClimbingTree42
What is the height and the root of this tree respectively ?
Root 4 height 2
Root 4 height 3
Root 4 height 4
Root 4 height 5
Height of tree?
Nlogn
Logn
 
A Heap is a nearly complete binary tree with the two properties?
Structural property
Order property
All of the above
Non-of the above
For the following array what is the height of the heap? A ={ 16, 14, 10, 8, 7, 9, 3, 2, 4, 1}
9
10
11
12
For this array A ={ 16, 14, 10, 8, 7, 9, 3, 2, 4, 1} what's the parent of node 9?
10
16
3
7
For this array A ={ 16, 14, 10, 8, 7, 9, 3, 2, 4, 1} what's the left of node 7 ??
1
15
8
9
Heapify runs with?
O(lg n)
O(nlg n)
O( n)
Bulid heap is :
Asymptotic upper bound
Asymptotically tight bound
Heapsort algorithm is
In-place and stable
In-place and unstable
One of the Max-Priority Queues applications :
scheduling jobs on a shared computer
Printer queue
Prioritizing events to be processed based on their predicted time of occurrence.
ALL
Extract-Max(S) do :
returns the element of S with the largest key .
Increases the value of element x’s key to the new value k, x.value ≤ k
Removes and returns the element of S with the largest key
Running time of Extract-Max is :
O(1)
O(logn)
O(nlong)
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