Given the following hash function: h (x) - round (x.key) which rounds to the nearest whole number, compute (1) the hash code for each key-value pair and (2) the location in a hash table where the element would go if the hash table was completely empty and had a fixed size of 8. Hash Code Hash Table Position (your Answer) Element shown as (key, value) pairs (your answer) (10.2, 44) (6.12. 10.4) (1.55, 10) (0.0. 1.4)

Given the following hash function: h (x) - round (x.key) which rounds to the nearest whole number, compute (1) the hash code for each key-value pair and (2) the location in a hash table where the element would go if the hash table was completely empty and had a fixed size of 8. Hash Code Hash Table Position (your Answer) Element shown as (key, value) pairs (your answer) (10.2, 44) (6.12. 10.4) (1.55, 10) (0.0. 1.4)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Suppose you are given the following set of keys to insert into a hash table that holds exactly 11 values: 113, 117, 97, 100, 114, 108, 116, 105, 99. Using the hash function= value %table_size. Which of the following best demonstrates the contents of the hash table after all the keys have been inserted using linear probing? 100,__,__,113,114,105,116,117,97,108,99 99,100,__,113,114,__,116,117,105,97,108 100,113,117,97,14,108,116,105,99,__,__ 117,114,108,116,105,99,__,__,97,100,113
1. Give the contents of the resulting hash table when you insert items with the keys L A G U N I V E R S in that order into an initially empty table of size M = 16 using linear probing. Use the hash function 11k mod M to transform the kth letter of the alphabet into a table index. Example: hash(J) hash(10) = 110 % 16 = 14 Show the detailed solution for each key and plot the items in the hash table.
Given input {4371, 1323, 6173, 4199, 4344, 9679, 1989} and a hashfunction h(x) = x mod 10, show the resulting:a. Separate chaining hash table.b. Hash table using linear probing.c. Hash table using quadratic probing.d. Hash table with second hash function h2(x) = 7 − (x mod 7).
Hey, Explain why using the following functions f1 and f2 as hash functions for a hash table of size m of integers is problematic. Here m is a prime number.1. f1(x)= xHere x denotes the cross sum of x. 2. f2(x)=⌊x/m⌋ mod m Thank you in advance!
Give the contents of the resulting hash table when you insert items with the keys L A G U N I V E R S in that order into an initially empty table of M = 5 lists, using separate chaining with unordered lists. Use the hash function 11k mod M to transform the kth letter of the alphabet into a table index. Example: hash(J) hash(10) = 110 % 5 = 0
Given the array of size 13, and the hashing function h(x) = x%13, at which array location would data with key value 33 be stored? Assuming 45 and 71 have already been inserted in the array and the quadratic probing is used for collision. Question options: A. 7 B. 10 C. 9 D. 2 E. 11
Consider a OBHTin which the keys are student identifiers (strings of 6 digits). Assume the following number of buckets and hash function: m = 100; hash(id) = first two digits of id Starting with an empty hash table, show the effect of successively adding the following student identifiers: 000014, 990021, 990019, 970036, 000015, 970012, 970023. Use following function as second hash function hash(id) = last digit of id 2. Show the effect of deleting 000014 from the hash 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
Suppose you have a hash table with seven entries (indexed 0 through 6). This table uses open addressing with the hash function that maps each letter to its alphabet code (a = A = 0, etc.) modulo 7. Rehashing is accomplished using linear-probing with a jump of 1. Describe the state of the table after each of the letters D, a, d, H, a, and h are added to the table.
20 a) Given a hashing function hash(x) = ((x * x) + x) % 11, Insert the value 17 into each hash table using the rules specified below. Note that some of the boxes in each hash table are already full. If there’s a collision, start the probing at i = 0 and increment from there if you collide. b) After we insert our new data (that 17) into these hash tables, should we resize and rehash the values? Why or Why not? c) If this was a hash table using separate chaining instead of linear probing, would it be time to rehash after we insert 17?
Given the hash function H (key) = (3 * key) mod 11, use square probe to solve the conflict. Please construct a hash table for the keyword sequence {6,8,10,17,20,23,33,41,59,60} in the hash table whose length is 11.
Insert the following sequence of keys in the hash table.Keys = {4, 2, 1, 3, 5, 6, 8}Use linear probing technique for collision resolution: h(k, i) = [h(k) + i] mod mHash function, h(k) = 3k + 1Table size, M = 10 Draw the hash table, compute the index where the hashvalue will be inserted for each key, and show how you would use the technique when a collisionoccurs.