A hash-map has been constructed with quadratic-hashing. The hashing function is h(k;) =(3 * k; + 7) mod 17 and the table length is N = 17. How many cells will be probed by the call ofinsert(2)14567810111213141516268911357059Note: First row contains the indices and the second row contains the items.

Given Data : Hashtable of size = 17 with few cells already filled with valid values. Hash function…

Answered: A hash-map has been constructed with…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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3. Consider an example of hash table of size 30, and the following items are to be stored. Design the hash table and the final array in the obtained indexes. (14, 22) (11, 18) (52,71) (41, 20) (30, 29) (33,64)
Please solve this
How can hashing be used to determine if all elements in a list are unique? What is the complexity?
PYTHON Why am I getting an error and it doesn't show the right output? Problem 1# Implement a hashtable using an array. Your implementation should include public methods for insertion, deletion, and# search, as well as helper methods for resizing. The hash table is resized when the loadfactor becomes greater than 0.6# during insertion of a new item. You will be using linear probing technique for collision resolution. Assume the key to# be an integer and use the hash function h(k) = k mod m where m is the size of the hashtable. class HashTableProb: def __init__(self, size=10): # Initialize the hashtable with the given size and an empty array to hold the key-value pairs. self.__size = size # size of the hashtable self.__hashtable = [None for _ in range(size)] self.__itemcount = 0 # Keeps track of the number of items in the current hashtable def __contains__(self, key): return self.__searchkey(key) def __next_prime(self, x): def…
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)
Given two arrays of integers, write a function to find the intersection of the arrays. The intersection should include only distinct elements and the result should be in sorted order. Solve this problem using the hash set approach.
- In class HashTable implement a hash table and consider the following:(i) Keys are integers (therefore also negative!) and should be stored in the tableint[] data.(ii) As a hash function take h(x) = (x · 701) mod 2000. The size of the table istherefore 2000. Be careful when computing the index of a negative key. Forexample, the index of the key x = −10 ish(−10) = (−7010) mod 2000 = (2000(−4) + 990) mod 2000 = 990.Hence, indices should be non-negative integers between 0 and 1999!(iii) Implement insert, which takes an integer and inserts it into a table. Themethod returns true, if the insertion is successful. If an element is already inthe table, the function insert should return false.(iv) Implement search, which takes an integer and finds it in the table. The methodreturns true, if the search is successful and false otherwise.(v) Implement delete, which takes an integer and deletes it form the table. Themethod returns true, if the deletion is successful and false otherwise.(vi)…
c++
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

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