(e) Assume a hash table with 6 buckets is initially empty. What are the contents of the hash table after insertion of the numbers 1, 18, 11, 4, 14 using the hash function h(k) = k%6?
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- Use the following values to answer the questions bellow 66 47 87 900 126 140 145 500 177 285 393 395 467 566 620 735Store the values into a hash table with ten buckets, each containing three slots. If a bucket is full, use the next (sequential) bucket that contains a free slot.T is an empty hash table. The size of T is 4 and the hash function is h(key) = key mod 4. Draw the hash table T after inserting the following item one by one: 24, 30, 29, 39, 30, 15, 14, 33.An empty hash table hashTable has 20 buckets and a hash function of key % 20. The following operations are performed in order. Select which operations cause a collision. HashInsert(hash Table, 10) HashInsert(hashTable, 15) HashInsert(hash Table, 55) HashInsert(hashTable, 13) HashInsert(hashTable, 33)
- Insert the following data into a hash table implemented using linear openaddressing. Assume that the buckets have three slots each. Make use of the hashfunction h(X) = X mod 9.{17, 09, 34, 56, 11, 71, 86, 55, 22, 10, 4, 39, 49, 52, 82, 13, 40, 31, 35, 28, 44}Generate 11 unique random elements and perform the extendible hashing. The bucket size is three (3) and the Hash function is the following: H(X) => Suppose the global depth is X. Then the Hash Functi9on returns X LSBs. Make sure that in every hashing step there is an equivalent explanation.3. Double hashing is one of the methods to resolve collision. Write a function to implement this method. The equations used in this method are given below. Note: implement everything within the double hash function. P = (P + INCREMENT(Key)) mod TABLE_SIZE INCREMENT(Key) = 1 + (Key mod INCR)
- The hash function h(k)= [(m(kA mod 1)] for A = 2-³ is used to insert the keys 61, 62, 63, 64, and 65 into a hash table of size m = 1000. The order of the hash codes in the table are given by a. 625, 125, 0, 750, 875 b. 625, 750, 625, 125, 0 c. 625,125, 0, 875, 750 d. 625, 750, 875, 0, 125 e. 625, 750, 125, 875, 0Trace Linear Probing with My Data A The hash table is size 7 and uses open addressing and linear probing. The hash function is hashCode(phone number) = last four digits % table size 555-1432 VoterA 555-6135 VoterB 555-2747 VoterC 555-6118 VoterD 555-5733 VoterE 555-4722 VoterF 555-7523 VoterG Show the hashCode of each Voter. Show the table after inserting the above voters in the listed order. Assume you want to retrieve each voter. How many seeks does it take to find each voter? How many seeks would it take to know that 555-5357 VoterH is not in the table? What does the table look like if you remove VoterF? Now how many seeks does it take to know that 555-5357 VoterH is not in the table? How many seeks does it take to retrieve voter G?Suppose you have a hash table with 1000 buckets and you want to insert 10,000 elements into the table. If the hash function distributes the elements uniformly, what is the expected number of collisions during the insertion process?
- Please type your solution below for the question. d. Suppose the hash tables in the two bridges B1 and B2 are all updated.Course: Data Structure and Algorithms Language: Java Kindly something and Answer in 1 hour. Read Carefully and give answer with all necesary details. See the image for askii codes. Question6: In this Problem, you are required to insert some keys into a hash table, using given hash functions. You have to Draw a Hash table with the inserted keys. Write total number of collisions encountered when a particular collision resolution technique is used. size= 13, H(X) = sum of Ascii codes of key % HTSIZE Keys: Mia, Bea, Zoe, Jan, Ada, Sam, Leo, Meo, Ben, Tim, Ted, Zod Use Linear probing: H’(X) = [H(X) +f(i))] % HTSIZE where f(i)=i where i=0,1,2,….Create a hash table of size 8 using modular division method. Use hash function h(k) = 2k + 3 where k is the key value. Apply quadratic probing method in resolving collision. Insert the following keys in the hash table: 3, 2, 9, 6, 11, 13. Show the final hash table.