Hashing

Question 1
Which one of the following hash functions on integers will distribute keys most uniformly over 10 buckets numbered 0 to 9 for i ranging from 0 to 2020?
A
h(i) = i2 mod 10
B
h(i) = i3 mod 10
C
h(i) = (11 *i2) mod 10
D
h(i) = (12 * i) mod 10
       Data-Structures       Hashing       GATE 2015 -(Set-2)
Question 1 Explanation: 
If we take first 10 elements, number of collisions taken by the hash function given by option (B) is less when compared to others.
Question 2
Given a hash table T with 25 slots that stores 2000 elements, the load factor α for T is ___________.
A
80
B
70
C
60
D
50
       Data-Structures       Hashing       GATE 2015(Set-03)
Question 2 Explanation: 
Load factor(α) = no. of elements/no. of slots = 2000/25 = 80
Question 3
Consider a hash table with 9 slots.  The hash function is h(k) = k mod 9.  The collisions are resolved by chaining.  The following 9 keys are inserted in the order: 5, 28, 19, 15, 20, 33, 12, 17, 10.  The maximum, minimum, and average chain lengths in the hash table, respectively, are
A
3, 0, and 1
B
3, 3, and 3
C
4, 0, and 1
D
3, 0, and 2
       Data-Structures       Hashing       GATE 2014(Set-01)
Question 3 Explanation: 
Hash table has 9 slots.
h(k) = k mod 9
Collisions are resolved using chaining.
Keys: 5, 28, 19, 15, 20, 33, 12, 17, 10.

5%9 – 5
28%9 – 1
19%9 – 1
15%9 – 6
20%9 – 2
33%9 – 6
12%9 – 3
17%9 – 8
10%9 – 1
Maximum chain length is 3
Minimum chain length is 0
Average chain length = 0+3+1+1+0+1+2+0+1/ 9 = 1
Question 4
Consider a hash table with 100 slots. Collisions are resolved using chaining. Assuming simple uniform hashing, what is the probability that the first 3 slots are unfilled after the first 3 insertions?
A
(97×97×97)/1003
B
(99×98×97)/1003
C
(97×96×95)/1003
D
(97×96×95)/(3!×1003)
       Algorithms       Hashing       Gate 2014 Set -03
Question 4 Explanation: 
Given Hash table consists of 100 slots.
They are picked with equal probability of Hash function since it is uniform hashing.
So to avoid the first 3 slots to be unfilled
=97/100*97/100*97/100=((97*97*97))⁄1003
Question 5
A
46, 42, 34, 52, 23, 33
B
34, 42, 23, 52, 33, 46
C
46, 34, 42, 23, 52, 33
D
42, 46, 33, 23, 34, 52
       Data-Structures       Hashing       2010
Question 5 Explanation: 
Hash Table consists of 10 slots, uses Open Addressing with hash function and linear probing.
After inserting 6 values, the table looks like

The possible order in which the keys are inserted are:
34, 42, 23, 46 are at their respective slots 4, 2, 3, 6.
52, 33 are at different positions.
― 52 has come after 42, 23, 34 because, it has the collision with 42, because of linear probing, it should have occupy the next empty slot. So 52 is after 42, 23, 34.
― 33 is after 46, because it has the clash with 23. So it got placed in next empty slot 7, which means 2, 3, 4, 5, 6 are filled.
42, 23, 34 may occur in any order but before 52 & 46 may come anywhere but before 33.

So option (C)
Question 6
A
10
B
20
C
30
D
40
       Data-Structures       Hashing       2010
Question 6 Explanation: 
Total 6 insertions
― 33 must be inserted at last (only one possibility)
― 46 can be inserted in any of the 5 places remaining. So 5 ways.
― 52 must be inserted only after inserting 42, 23, 34. So only one choice for 52.
〈42,23,34〉can be sequenced in 3! ways.
Hence, 5×3! = 30 ways
Question 7
The keys 12, 18, 13, 2, 3, 23, 5 and 15 are inserted into an initially empty hash table of length 10 using open addressing with hash function h(k) = k mod 10 and linear probing. What is the resultant hash table?
A
B
C
D
       Data-Structures       Hashing       2009
Question 7 Explanation: 
Given keys: 12, 18, 13, 2, 3, 23, 5 & 15
They are inserted into an initially empty hash table of length 10 using open addressing with hash function h(k)=k mod 10 & linear probing is used.

12 % 10 = 2
18 % 10 = 8
13 % 10 = 3
2 % 10 = 2 (Index 4 is empty)
3 % 10 = 3 (Index 5 is empty)
23 % 10 = 3 (Index 6 is empty)
5 % 10 = 5 (Index 7 is empty)
15 % 10 = 5 (Index 9 is empty)
Hence Option C is correct.
A & B doesn’t include all the keys & option D is similar to chaining. So, will go with C.
Question 8
 
A
2
B
4
C
6
D
7
       Data-Structures       Hashing       Gate 2008-IT
Question 8 Explanation: 

Hence, correct option is (D).
Question 9
Consider a hash table of size seven, with starting index zero, and a hash function (3x + 4) mod 7. Assuming the hash table is initially empty, which of the following is the contents of the table when the sequence 1, 3, 8, 10 is inserted into the table using closed hashing? Note that ‘_’ denotes an empty location in the table.
A
8, _, _, _, _, _, 10
B
1, 8, 10, _, _, _, 3
C
1, _, _, _, _, _,3
D
1, 10, 8, _, _, _, 3
       Data-Structures       Hashing       Gate-2007
Question 9 Explanation: 
Consider a hash table of size 7
Starting index is zero i.e.,

⇾ Given hash function is = (3x+4) mod 3
⇾ Given sequence is = 1, 3, 8, 10
where x = 1 ⟹ (3(1)+4)mod 3 = 0
1 will occupy index 0.
where x = 3 ⟹ (3(3)+4) mod 7 = 6
3 will occupy index 6.
where x = 8 ⟹ (3(8)+4) mod 7 = 0
Index ‘0’ is already occupied then put value(8) at next space (1).
where x = 10 ⟹ (3(10)+4) mod 7 = 6
Index ‘6’ is already occupied then put value(10) at next space (2).
The resultant sequence is (1, 8, 10, __ , __ , __ , 3).
Question 10
 
A
i only
B
ii only
C
i and ii only
D
iii or iv
       Data-Structures       Hashing       Gate-2004
Question 10 Explanation: 
Given Input = (4322, 1334, 1471, 9679, 1989, 6171, 6173, 4199)
Hash function = x mod 10
Hash values = (2, 4, 1, 9, 9, 1, 3, 9)
9679, 1989, 4199 have same hash values
&
1471, 6171 have same hash values.
Question 11
An advantage of chained hash table (external hashing) over the open addressing scheme is
A
Worst case complexity of search operations is less?
B
Space used is less
C
Deletion is easier
D
None of the above
       Data-Structures       Hashing       Gate-1996
Question 11 Explanation: 
In chained hash tables have advantages over open addressed hash tables in that the removal operation is simple and resizing can be postponed for longer time.
Question 12
 
A
4
B
5
C
6
D
3
       Data-Structures       Hashing       Gate-1989
Question 12 Explanation: 
In this, maximum size of cluster = 4 (S6, S3, S7, S1)
→ Worst case of finding a number is equal to maximum size of cluster + 1(after searching all the cluster it enters into empty cluster)
→ Maximum no. of comparisions = 4 + 1 = 5
There are 12 questions to complete.