Hash(key) + 1 is the concept of O Double Hashing O Quadratic Probing O Separate Chaining O Linear Probing

How can hashing be used to determine if all elements in a list are unique? What is the complexity?

Task - 1: Write a java program to implement the following algorithms for Open Addressing techniques for Hash Table data structure. (Use a simple array of integers to store integer key values only). HASH-SEARCH(T, k) HASH-INSERT (T, k) i = 0 repeat j = h (k, i) if T[j] == NIL T[j] = k return j else i = i + 1 ● i = 0 repeat until i == m error “hash table overflow" For both algorithms, to compute the index j, write the following methods: getLinear ProbIndex (key, i) getQuadraticProbIndex ● get DoubleHash (key, i) (key, i) j = h (k, i) if T[j] == k return j i = i + 1 until T[j] == NIL or i = m return NIL Linear Probing index is computed using following hash function: h(k, i) = (h₁(k) + i) mod m h₁(k)= k mod m Quadratic probing index is computed using following hash function: h(k, i) = (h₁(k) + i²) mod m h₁(k)= k mod m Double hashing index is computed using following hash function: h(k, i) = (h₁(k) + i h₂(k)) mod m h₁(k)= k mod m h₂(k) = 1 + (k mod m - 1)

Implement a commonly used hash table in a program that handles collision using linear probing. Using (K mod 13) as the hash function, store the following elements in the table: {1, 5, 21, 26, 39, 14, 15, 16, 17, 18, 19, 20, 111, 145, 146}.

Hashing table Sıze 7: SIze 7: 12,5,19,2,23. Use Quadratic Probing if tnere is Answer in form of the order of a collision in ferted elemunts. a) -19.2 23 12-5 b).-19223 125 C) 12 2 23 19--S ) 12--2 2319 5

What is the time complexity of delete function in the hash table using a doubly linked list?a) O(1)b) O(n)c) O(log n)d) O(n log n)

The Big O value of hashing is: O a. O(log N) O b. O(N) Oc O(N*Log N) O d. 0(1)

5. Here are keys and their hash values, for hashing using h(k)= k mod m Where m = 13 130 108 K H(K) 9 0 4 Use double hashing to resolve the collision with h2(k)= 10 - (k mod 10) Construct the hash table 100 78 0 35 9

2. Consider the Linear Hashing index. Linear Hashing | h1 000 001 010 011 ho ठ 00 01 10 11 Mod 8 (%68) Mod 4 (%4) 16* 21* 40* 37* 14* 18* 6* Primary Page 13* A. Show the resulting index after inserting the entry 9* C. Show the resulting index after inserting entry 7* 31* 19* 11* 23* B. Show the resulting index after inserting the entry 3* 30* D. Show the resulting index after inserting the entry 22* Overflow Page

do both