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CS301 Final Term Solved Subjective with References Set 3 by Moaaz

Data Structures PDF 471 KBUpdated 23 Oct 2026
Final term past paper CS301 Final Term Solved Subjective with References Set 3 by Moaaz PDF 471 KB
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Cs301 final term subjectives solved with references by moaaz

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Object Oriented Programming (Virtual University of Pakistan)

Studocu is not sponsored or endorsed by any college or university

Cs301 final term subjectives solved with references by moaaz

vustudy

Object Oriented Programming (Virtual University of Pakistan)

CS301- Data Structures · LATEST SOLVED SUBJECTIVES · FROM FINALTERM PAPERS · Feb 06,2012 · Cs301 - subjective · Final Term

Q1. name of two divide and conquer algorithm (2 marks)

Answer: (Page 488)

  •  Merge Sort
  •  Quick Sort
  •  Heap Sort

These three algorithms fall under ‗divide and conquer category‘.

Q2. difference between call by value n call by reference (2 marks)

Answer: (Page 202) In case of call by value, a copy of object is made and placed at the time of function calling in the activation record. By using the references, we are not making the copy but send the address of the variable that function can use the original value.

Q3. heap and two types of heap(3)

Answer: (Page 333 ) Heap is a data structure of big use and benefit. It is used in priority queue. ―The definition of heap is that it is a complete binary tree that conforms to the heap order‖. Here heap order means the min and max heap. Max heap: In max heap, each node has a value greater than the value of its left and right child nodes. Moreover, the value of the root will be largest and will become lesser at downward levels. Min heap: in a (min) heap for every node X, the key in the parent is smaller than (or equal to) the key in X. This means that the value in the parent node is less than the value on its children nodes.

Q4. height of a tree is 5 find sum of heights (2)

Answer: Height = 5 Nodes = 2^h = 2^5 =32 Sum of Nodes = N-(h+1)= 32-(5+1) = 32-6 = 26

Q5. Here is an array with exactly 15 elements:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15.

examining two or fewer numbers from the array. (Marks: 5)

If there is an array of 15 elements, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15} it wants to know which elements can be discovered by examining two or fewer elements. I want assume the divide and conquer aspect of a binary search, so that leads me to think these elements will be found 1, 2, 14, 15, 7, 3

rather; 1, 2, 3, 4, 6, 8, 14, 15 1 and 15 for heads and tails 2, and 14 for next elements (following or preceding) 1/2 of 15 is either 6, or 8, from 7.5 and 1/2 of 6 = 3 1/2 8 = 4

Note: - I am not sure about answer; I feel Question logic is not clear.

Q1. Write one example of hashing?

Answer: (page 459) Hashing can be used to store the data. Suppose we have a list of fruits. The names of Fruits are in string. The key is the name of the fruit. We will pass it to the hash Function to get the hash key. HashCode ("apple") = 5 We pass it to the string ―apple‖. Resultantly, it returns a number 5.

Q2. Height of a tree is 5 find sum of heights

Answer: rep

Q3. How do we carry out degeneration of Complete Binary Tree?

Degeneration of the (original) binary tree is mainly reflected by degeneration of the internal infix trees and less

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