Give the use of a hash function, Draw the hash table that results using the hash function: hk)-k mod 13 to hash the keys 2. 7.4, 41, 15, 32. 25, 11, 30. Assuming collisions are handled by Quadratic probing Draw the hash table that results using the hash function: h(k)-k mod 13 to hash the keys 2, 7,4, 41, 15, 32, 25. 11. 30. Assuming collisions are handied by Linear probing Draw the hash table that results using the hash function: h(k)-kmod7 to hash the keys 76. 93, 40, 47. 10. 55. Assuming collisions are handled by Double hashing

Does a hash table of size m consistently contain the same number of linked lists? I am unable to identify the purpose of a hash function, no matter how hard I attempt. To demonstrate your thesis, provide an example.

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You just have to post the answer, I'll do the explanation myself.

extermal (overilow) chaining is used to resolve collisions. The hash function is suh DL. Consider a hash table with n buckets, where extermal (overilow) chaining is used t resolve collisions. The hash tunction is that the probability that a key value is hashed The hash table is to a particular bucket is initially empty and K distinct values a inserted in the table.

Answer the following ture or false question 1. The 9-entry hash table that results from using the hash function, h(i) = (2i+7) mod 9, to hash the keys 12, 5, 13, 4, 10, 19, 8, 3, and 28, assuming collisions are handled by linear probing as follows: 0 1 2 3 4 5 6 7 8 10 19 3 28 12 8 13 4 5 Group of answer choices True False   2. Here is how the built-in sum function can be combined with Python’s comprehension syntax to compute the sum of all numbers in an n x n data set, represented as a list of lists: sum(sum(subset) for subset in data) Group of answer choices True False 3. Here is the comparison for asymptotic growth rate: (logn) < (n) < (nlogn) < (n^2) < (n^3) < (2^n) Group of answer choices True False   4. Here is the Python’s list comprehension syntax to produce the list of this 26 characters ['a', 'b', 'c', ..., 'z']: [chr(k) for k in range(97, 123)] Group of answer choices True False

Given the hash function: h(i) = i % 13Show the array after inserting the following keys: 18, 41, 22, 44, 59, 32, 31, 73, in this order. Use linear probing to resolve collisions.

Let us consider an empty hash table with 10 positions indexed from 0 to 9. Please illustrate the content of the hash table after inserting the elements 79, 8, 39, 48, 3, and 60 using(1) Quadratic Probing (2) Double hashing with h(k) = k%10 and h’(k)= 7-k%7

Using quadratic probing, what would be the answer for the following questions if you insert the following keys in sequence: 10, 17, 24, 31, 21, 19. (N = 7) While doing the insertions  keep track of the number of collisions for each key and get the final configuration of the structure.  Use the following quadratic hashing function: ((x mod 7) + j²) mod 7. What is the final configuration of the hash table? Use the indices from 0 to 6 to report where each key will be mapped. If the position has no value use the word empty. For example, if the final configuration is 10,17,24,31,21,19 (starting from index 0), your answer in the box should be 10,17,24,31,21,19,empty. Please don't use blank spaces or quotes to separate the values.          Report the number of collisions for each key using the order of insertion. For example, if you answer as 0,1,3,1,0,1, this means that you found 0 collisions for key 3, 1 collision for key 10, 3 collisions for key 17, 1 collision for key 24, 0 collisions…

Computer Science A hash function h defined h(k)=k mod 7, and linear probing is used to insert the keys 44, 45, 79, 55, 91, 18, 63 into a table indexed from 0 to 6. What will be the location of key 18?