Binary-Trees

Question 1

Prove by the principal of mathematical induction that for any binary tree, in which every non-leaf node has 2 descendants, the number of leaves in the tree is one more than the number of non-leaf nodes.

A
Theory Explanation.
Question 2

A rooted tree with 12 nodes has its nodes numbered 1 to 12 in pre-order. When the tree is traversed in post-order, the nodes are visited in the order 3, 5, 4, 2, 7, 8, 6, 10, 11, 12, 9, 1.
Reconstruct the original tree from this information, that is, find the parent of each node, and show the tree diagrammatically.

A
Theory Explanation.
Question 3

What is the number of binary trees with 3 nodes which when traversed in postorder give the sequence A, B, C? Draw all these binary trees.

A
Theory Explanation.
Question 4

In a balanced binary search tree with n elements, what is the worst case time complexity of reporting all elements in range [a,b]? Assume that the number of reported elements is k.

A
θ(n log k)
B
θ(log n + k)
C
θ(k log n)
D
θ(log n)
Question 4 Explanation: 
The idea is to traverse the given binary search tree starting from root. For every node being visited, check if this node lies in range, if yes, then add 1 to result and recur for both of its children. If the current node is smaller than the low value of range, then recur for right child, else recur for left child.
Time complexity of the above program is O(h + k) where h is the height of BST and k is the number of nodes in a given range.
Here h is log n, hence O(log n+k).
Question 5

What is the worst case time complexity of inserting n2 elements into an AVL-tree with n elements initially?

A
θ(n4)
B
θ(n2)
C
θ(n3)
D
θ(n2 log n)
Question 5 Explanation: 
AVL Tree all operations(insert, delete and search) will take O(logn) time.
In question they asked about n2 elements.
So, In worst case it will take o(n2 log n) time.
Question 6

The preorder traversal of a binary search tree is 15, 10, 12, 11, 20, 18, 16, 19.

Which one of the following is the postorder traversal of the tree?

A
20, 19, 18, 16, 15, 12, 11, 10
B
11, 12, 10, 16, 19, 18, 20, 15
C
10, 11, 12, 15, 16, 18, 19, 20
D
19, 16, 18, 20, 11, 12, 10, 15
Question 6 Explanation: 


Postorder:
11, 12, 10, 16, 19, 18, 20, 15
Question 7

A binary search tree is generated by inserting in order the following integers:

 50, 15, 62, 5, 20, 58, 91, 3, 8, 37, 60, 24  

The number of nodes in the left subtree and right subtree of the root respectively is

A
(4, 7)
B
(7, 4)
C
(8, 3)
D
(3, 8)
Question 7 Explanation: 
50 is the root node in BST.
So greater than 50 will be in right subtree of 50 and less than 50 in left subtree.
So, answer will be (7, 4).
Question 8

In the balanced binary tree in the below figure, how many nodes will become unbalanced when a node is inserted as a child of the node “g”?

A
1
B
3
C
7
D
8
Question 8 Explanation: 

a, b, c are going to unbalance.
Question 9

Which of the following sequences denotes the post order traversal sequence of the tree of question 14?

A
f e g c d b a
B
g c b d a f e
C
g c d b f e a
D
f e d g c b a
Question 9 Explanation: 
Postorder:-
Left → Right → Root
g c d b f e a
Question 10

Let T be a full binary tree with 8 leaves. (A full binary tree has every level full). Suppose two leaves a and b of T are chosen uniformly and independently at random. The expected value of the distance between a and b in T (i.e., the number of edges in the unique path between a and b) is (rounded off to 2 decimal places) _____.

A
5.54
B
1.34
C
4.25
D
3.82
Question 10 Explanation: 
There can be 8 paths between any 2 uniformly & independently chosen leaf nodes.
A node can be chosen twice and the path from that node to itself will be zero.
∴ Path 1 = 0
Similarly,
Path 2 = 2
Path 3 = 4
Path 4 = 4
Path 5 = 6
Path 6 = 6
Path 7 = 6
Path 8 = 6
∴ Expected value = Σ Path length × Probability of selecting path
= 2×1/8 + 4×2/8 + 6×4/8 + 0×1/8
= 1/4 + 1/1 + 3/1 + 0
= 4 + 1/4
= 17/4
= 4.25
Question 11
Consider the following statements:
I. The smallest element in a max-heap is always at a leaf node.
II. The second largest element in a max-heap is always a child of the root node.
III. A max-heap can be constructed from a binary search tree in Θ(n) time.
IV. A binary search tree can be constructed from a max-heap in Θ(n) time.
Which of the above statements are TRUE?
A
I, II and III
B
II, III and IV
C
I, III and IV
D
I, II and IV
Question 11 Explanation: 
i) TRUE: The smallest element in heap is always a leaf node but depends upon the graph, it may be left or right side of the graph.
(ii) TRUE: The second smallest element in a heap is always a child of root node.

(iii) TRUE: Converting from binary search tree to max heap will take O(n) time as well as O(n) space complexity.
(iv) FALSE: We can’t convert max heap to binary search tree in O(n) time.
Question 12

A binary search tree contains the value 1, 2, 3, 4, 5, 6, 7, 8. The tree is traversed in pre-order and the values are printed out. Which of the following sequences is a valid output?

A
5 3 1 2 4 7 8 6
B
5 3 1 2 6 4 8 7
C
5 3 2 4 1 6 7 8
D
5 3 1 2 4 7 6 8
Question 12 Explanation: 
Preorder traversal means (Root, left, right)
Option D:
Let draw binary search tree for the given sequence,

After traversing through this tree we will get same sequence.
Question 13

Draw the binary tree with node labels a, b, c, d, e, f and g for which the inorder and postorder traversals result in the following sequences:

 Inorder       a f b c d g e
 Postorder     a f c g e d b 
A
Theory Explanation.
Question 14

Which of the following statements is false?

A
A tree with a n nodes has (n – 1) edges
B
A labeled rooted binary tree can be uniquely constructed given its postorder and preorder traversal results
C
A complete binary tree with n internal nodes has (n + 1) leaves
D
Both B and C
Question 14 Explanation: 
A: Tree with n nodes must have (n-1) edges.
D: The maximum no. of nodes in a binary tree of height h is 2h+1 - 1.
h=2 ⇒ 23 - 1 ⇒ 7
Question 15

Let LASTPOST, LASTIN and LASTPRE denote the last vertex visited in a postorder, inorder and preorder traversal. Respectively, of a complete binary tree. Which of the following is always tree?

A
LASTIN = LASTPOST
B
LASTIN = LASTPRE
C
LASTPRE = LASTPOST
D
None of the above
Question 15 Explanation: 
In full Binary tree LASTIN = LASTPRE.
But in case of complete binary last level need not to be full in that case LASTPRE is not equal to LASTIN.
Question 16

Consider the following nested representation of binary trees: (X Y Z) indicates Y and Z are the left and right sub stress, respectively, of node X. Note that Y and Z may be NULL, or further nested. Which of the following represents a valid binary tree?

A
(1 2 (4 5 6 7))
B
(1 (2 3 4) 5 6) 7)
C
(1 (2 3 4) (5 6 7))
D
(1 (2 3 NULL) (4 5))
Question 16 Explanation: 
Option C:

(Proper Representation)
Question 17

Draw all binary trees having exactly three nodes labeled A, B and C on which Preorder traversal gives the sequence C, B, A.

A
Theory Explanation is given below.
Question 17 Explanation: 

Total 5 binary trees are possible with the preorder C, B, A.
Question 18

Consider the binary tree in Figure:

(a) What structure is represented by the binary tree?
(b) Give the different steps for deleting the node with key 5 so that the structure is preserved.
(c) Outline a procedure in pseudo-code to delete an arbitrary node from such a binary tree with n nodes that preserves the structure. What is the worst-case time-complexity of your procedure?

A
Theory Explanation.
Question 19
 

The weighted external path length of the binary tree in figure is _____

A
144
Question 19 Explanation: 
Question 20

An array of integers of size n can be converted into a heap by adjusting the heaps rooted at each internal node of the complete binary tree starting at the node ⌊(n - 1) /2⌋, and doing this adjustment up to the root node (root node is at index 0) in the order ⌊(n - 1)/2⌋, ⌊(n - 3)/2⌋, ....., 0. The time required to construct a heap in this manner is

A
O(log n)
B
O(n)
C
O(n log log n)
D
O(n log n)
Question 20 Explanation: 
The above statement is actually algorithm for building a heap of an input array A.
And we know that time complexity for building the heap is O(n).
Question 21

An array X of n distinct integers is interpreted as a complete binary tree. The index of the first element of the array is 0. The index of the parent of element X[i],i≠0 is?

A
⌊i/2⌋
B
⌈(i-1)/2⌉
C
⌈i/2⌉
D
⌈i/2⌉ - 1
Question 21 Explanation: 
If index of array start with 1 then directly divide the ith value by 2 and take floor. If index start with '0' then ⌈i/2⌉ - 1.
Question 22

An array X of n distinct integers is interpreted as a complete binary tree. The index of the first element of the array is 0. If only the root node does not satisfy the heap property, the algorithm to convert the complete binary tree into a heap has the best asymptotic time complexity of

A
O(n)
B
O(log n)
C
O(n log n)
D
O(n log log n)
Question 22 Explanation: 
It takes O(log n) to heapify an element of heap.
Question 23

An array X of n distinct integers is interpreted as a complete binary tree. The index of the first element of the array is 0. If the root node is at level 0, the level of element X[i], i ≠ 0, is

A
⌊log2 i⌋
B
⌈log2 (i + 1)⌉
C
⌊log2 (i + 1)⌋
D
⌈log2 i⌉
Question 23 Explanation: 
If the root node is at level 0 then the level of element X[i] is ⌊log2 (i + 1)⌋.
Question 24

Suppose that we have numbers between 1 and 100 in a binary search tree and want to search for the number 55. Which of the following sequences CANNOT be the sequence of nodes examined?

A
{10, 75, 64, 43, 60, 57, 55}
B
{90, 12, 68, 34, 62, 45, 55}
C
{9, 85, 47, 68, 43, 57, 55}
D
{79, 14, 72, 56, 16, 53, 55}
Question 24 Explanation: 
In the binary search tree on right side of parent number, the number should be greater than it. But in option C, after 47, 43 appears. So, this is False.
Question 25

In a binary tree, the number of internal nodes of degree 1 is 5, and the number of internal nodes of degree 2 is 10. The number of leaf nodes in the binary tree is

A
10
B
11
C
12
D
15
Question 25 Explanation: 
A node in a binary tree has degree 0, 1, 2.
No. of 1 degree nodes = 5
No. of 2 degree nodes = 10
Total no. of edges = (1*5) + (2*10) = 5 + 20 = 25
So, Total no. of edges = 25 + 1 = 26 (No. of nodes in a tree is 1 more than no. of edges)
Total no. of leaf nodes (node with 0 degree) = 26 - 5 - 10 = 11
Question 26

When searching for the key value 60 in a binary search tree, nodes containing the key values 10, 20, 40, 50, 70 80, 90 are traversed, not necessarily in the order given. How many different orders are possible in which these key values can occur on the search path from the root to the node containing the value 60?

A
35
B
64
C
128
D
5040
Question 26 Explanation: 
To find 60 in BST then there are two possible set i.e., greater than 60 and smaller than 60.
Smaller values 90, 80 and 70 are visited in order
i.e., 7!/(4!3!) = 35
Question 27

A binary tree with n > 1 nodes has n1, n2 and n3 nodes of degree one, two and three respectively. The degree of a node is defined as the number of its neighbors. n3 can be expressed as

A
n1 + n2 - 1
B
n1 - 2
C
[((n1 + n2)/2)]
D
n2 - 1
Question 27 Explanation: 

n1 = 3
n2 = 1
n3 = 1
So, option (B) satisfies.
Question 28

A binary tree with n > 1 nodes has n1, n2 and n3 nodes of degree one, two and three respectively. The degree of a node is defined as the number of its neighbors. Starting with the above tree, while there remains a node v of degree two in the tree, add an edge between the two neighbors of v and then remove v from the tree. How many edges will remain at the end of the process?

A
2 * n1 – 3
B
n2 + 2 * n1 – 2
C
n3 – n2
D
n2 + n1 – 2
Question 28 Explanation: 

n1 = 3
n3 = 1
So, option (A) satisfies.
Question 29

A Binary Search Tree (BST) stores values in the range 37 to 573. Consider the following sequence of keys.

 I. 81, 537, 102, 439, 285, 376, 305
II. 52, 97, 121, 195, 242, 381, 472
III. 142, 248, 520, 386, 345, 270, 307
IV. 550, 149, 507, 395, 463, 402, 270

How many distinct BSTs can be constructed with 3 distinct keys?

A
4
B
5
C
6
D
9
Question 29 Explanation: 
Formula:
2nCn/n+1 = 6C3/7 = 5
Question 30

A Binary Search Tree (BST) stores values in the range 37 to 573. Consider the following sequence of keys.

 I. 81, 537, 102, 439, 285, 376, 305
II. 52, 97, 121, 195, 242, 381, 472
III. 142, 248, 520, 386, 345, 270, 307
IV. 550, 149, 507, 395, 463, 402, 270

Which of the following statements is TRUE?

A
I, II and IV are inorder sequences of three different BSTs
B
I is a preorder sequence of some BST with 439 as the root
C
II is an inorder sequence of some BST where 121 is the root and 52 is a leaf
D
IV is a postorder sequence of some BST with 149 as the root
Question 30 Explanation: 
A) Incorrect because I & IV are not in ascending order. (Inorder sequence of BST is in increasing order).
B) False because if 439 is root then it should be first element in preorder.
C) This is correct.
D) False because if 149 is root, then it should be last element in postorder.
Question 31

A Binary Search Tree (BST) stores values in the range 37 to 573. Consider the following sequence of keys.

I. 81, 537, 102, 439, 285, 376, 305
II. 52, 97, 121, 195, 242, 381, 472
III. 142, 248, 520, 386, 345, 270, 307
IV. 550, 149, 507, 395, 463, 402, 270

Suppose the BST has been unsuccessfully searched for key 273. Which all of the above sequences list nodes in the order in which we could have encountered them in the search?

A
II and III only
B
I and III only
C
III and IV only
D
III only
Question 31 Explanation: 
Question 32

The following three are known to be the preorder, inorder and postorder sequences of a binary tree. But it is not known which is which.

MBCAFHPYK
KAMCBYPFH
MABCKYFPH
Pick the true statement from the following.
A
I and II are preorder and inorder sequences, respectively
B
I and III are preorder and postorder sequences, respectively
C
II is the inorder sequence, but nothing more can be said about the other two sequences
D
II and III are the preorder and inorder sequences, respectively
Question 32 Explanation: 
In preorder, root comes at the beginning of the traversal sequence and in post order, root comes at last of the traversal sequence.
So, out of the given sequence only I & II are having such kind of order, i.e., K at the beginning and at the last.
Therefore, II is the preorder and I is postorder and the sequence III will definitely be inorder.
Question 33

If the number of leaves in a tree is not a power of 2, then the tree is not a binary tree.

A
True
B
False
Question 33 Explanation: 

In the above binary tree, no. of leaves is 3, which is not the power of 2. Hence the given statement is false.
Question 34

It is possible to construct a binary tree uniquely whose pre-order and post-order traversals are given?

A
True
B
False
Question 34 Explanation: 
To construct binary tree uniquely we need either inorder and postorder or inorder and preorder.
Question 35

Choose the correct alternatives (More than one may be correct).

The total external path length, EPL, of a binary tree with n external nodes is, EPL = ∑wIw, where Iw is the path length of external node w),
A
≤ n2 always.
B
≥ n log2 n always.
C
Equal to n2 always.
D
O(n) for some special trees.
Question 35 Explanation: 
Here the question asked for binary tree.
It can be of 2 types:
1) Skewed tree.
2) Balanced binary tree or AVL tree.
We have to find external path length, i.e., leaf node.
We also know cost of external path = leaf node value + length of path
Now for balanced tree external path length = n × log n
But for skewed tree it will be O(n) only.
So, answer will be (D).
There are 35 questions to complete.

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