Test: Graphs & Hashing- 2 - Computer Science Engineering (CSE) MCQ

Load factor is the ratio of number of records that are currently present and total number of records that can be present. If the load factor is less, free space will be more. This means probability of collision is less. So, the search time will be less.

If the new record hashes onto one of the six locations 7, 8, 9, 10, 1 or 2, the location 2 will receive the new record. The probability is 6/10 (as 10 is the total possible number of locations).

You can verify that the 1^st, 3^rd, 5^th, 7^th...probes check at location 5.
The 2nd, 6^th, 10^th...probes check at location 8. The 4^th, 8^th, 12^th...probes check at location 4. The rest of the address space, will never be probed.

If there is only one record, then the probability of a collision will be 1/100. if 2, then 2/100 etc. If 9 then 9/100. So, the required probability is 1 + 2 + 3 ... 9/100 = 0.45.

Probability for the first record not colliding is x/x.
Probability for the second record not colliding is x - 1/x. (This is because one place is already occupied. So favorable number of cases is x-1).
Probability for the third record not colliding is x - 2/x.
Probability for the (m - 1)^th record not colliding is x - (m - 2)/x.
Now the next (m^th) record is resulting in a collision. Out of the x places, it should hash to one of the (m - 1) places already, filled. So probability is (m - 1)/x.
The required probability is (x/x) (x - 1/x) (x - 2/x) ...(x - (m - 2)/x) (m - 1/x)

Since, 4 is the left child of 3 and 3 have index value 3. So, 4 has index value 2 x [index value of parent 3]
= 2 x 3 = 6

10 leaf nodes, where i = internal node and l = leaf node

So number of nodes in strict binary tree will be:
Nodes = n + (n - 1), n = leaf, (n - 1) internal
= (2n - 1)
So = 10 + (10 - 1)
= 10 + 9 
= 19

Eccentricity of a given node is the maximum of minimum path from other nodes to the given node.
Cost of minimum path from 1 to 5 is 7 Cost of minimum path from 2 to 5 is 6 Cost of minimum path from 3 to 5 is 4 Cost of minimum path from 4 to 5 is 7 Since the maximum is 7, eccentricity of node 5 is 7.

Find eccentricity of all nodes.
Eccentricity of node 1 is ∞
Eccentricity of node 2 is 6
Eccentricity of node 3 is 8
Eccentricity of node 4 is 5
Eccentricity of node 5 is 7
Center of a graph is the node with minimum eccentricity.

Conventional way needs a storage of m x n.
In the case of linked list implementation of sparse matrices, storage needed will be m + 3 x (the number of non-zero entries).
Only in case (c), both the methods need the same storage of 30.