This is question which I want you to solve but solve with this step and draw Q/Given input (4371, 1323, 6173, 4199, 4344, 9679, 1989) and hash function h(x):=xmod 10 show the resulting a. Separate chaining hash table.. B.Hash table using linear probing. C. Hash table using quadratic probing This is examples pls follow step same step when you solve questions up EX: given input (89, 18, 49, 58, 69) and a hash function h(x) = x mod 10, show the resulting: 1. Hash table using linear probing.. 2. Hash table using quadratic probing. Sol: 1- Linear probing 9 89 0 49 في حالة وجود تصادم نتحرك بمقدار واحد لتفادي التصادم H(x)=x mod 10 1 2 3 4 58 89 2- quadratic probing. H(x)=x mod 10 0 1 2 49 58 3 69 5 6 H(x)=x+i² mod 10 4 5 7 6 نبدي من 1 وفي حاله حصل تصادم نزيد واحد 8 7 18 8 18 9 89

This is question which I want you to solve but solve with this step and draw Q/Given input (4371, 1323, 6173, 4199, 4344, 9679, 1989) and hash function h(x):=xmod 10 show the resulting a. Separate chaining hash table.. B.Hash table using linear probing. C. Hash table using quadratic probing This is examples pls follow step same step when you solve questions up EX: given input (89, 18, 49, 58, 69) and a hash function h(x) = x mod 10, show the resulting: 1. Hash table using linear probing.. 2. Hash table using quadratic probing. Sol: 1- Linear probing 9 89 0 49 في حالة وجود تصادم نتحرك بمقدار واحد لتفادي التصادم H(x)=x mod 10 1 2 3 4 58 89 2- quadratic probing. H(x)=x mod 10 0 1 2 49 58 3 69 5 6 H(x)=x+i² mod 10 4 5 7 6 نبدي من 1 وفي حاله حصل تصادم نزيد واحد 8 7 18 8 18 9 89

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

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Given an array A {361,313, 163,179, 334, 659, 969, 934} and a hash functionh(x) = (x mod 11), show the results: (The answers must show where the collision occurs.) (1). Separate chaining hash table. (2). Hash table using linear probing. (3). Hash table using quadratic probing. (c1 = 0, c2 = 1) (4). Hash table with second hash function h2 (x) = 7 − (x mod 7).
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).
Suppose we use a hash function h to hash n distinct keys into an array T oflength m. Assuming simple uniform hashing, what is the expected number ofcollisions? More precisely, what is the expected cardinality of ffk; lg W k ¤ l andh.k/ D h.l/g?
#. Consider a hash table of size 11 with hash function h(x) = x mod 11.Draw both hash tables (Closed-Bucket and Open-Bucket) that results after inserting, in the given order, the following values: 45, 12, 35, 67, 25, 52, 88, 70, 68, 53, 55
Give the contents of a linear-probing hash table that results when you insert thekeys E A S Y Q U T I O N in that order into an initially empty table of initial size M= 4 that is expanded with doubling whenever half full. Use the hash function 11 k % Mto transform the kth letter of the alphabet into a table index.
For the set of keys {17, 9, 34, 56, 11, 4, 71, 86, 55, 10, 39, 49, 52, 82, 31, 13, 22,35, 44, 20, 60, 28} obtain a hash table HT[0..8, 0..2] following quadratic probing.Make use of the hash function H(X) = X mod 9. What are your observations?
Using quadratic probing, create a hash table HT[0..8, 0..2] for the collection of keys 17, 9, 34, 56, 11, 4, 71, 86, 55, 10, 39, 49, 52, 82, 31, 13, 22, 35, 44, 20, 60, and 28.Use the hashing formula H(X) = X mod 9. What conclusions have you drawn?
Given the following keys {336,121,613, 93, 63, 17, 10, 53} for insertion into a hash table, and using a hash function h(k)= k mod m, m = 11, show the resulting:(i) Quadratic probing hash table(ii) Linear probing hash table(iii) Separate chaining hash table
Consider an initially empty hash table, with an initial size of two buckets, and a load factor threshold of 0.725. After inserting the values 27, 13, 11, 47, 35, and 19 in that order, using big-oh notation, give the average-case time to search for a number between 10 and 50, and the worst-case for the same search. You may assume that the size of the hash table is doubled when necessary. public int hashCode( int k ) { int h = k * 3 - 2; return h % this.size(); }
Given:• a hash function: h(x) = | 3x + 1 | mod M• bucket array of capacity 'N'• set of objects with the folloeing keys: 12, 44, 13, 88, 23, 94, 11, 39, 20, 16, 5 (to input from left to right) 1. What would be the hash table where M=N=11 and collisions are taken care of using linear probing? 2. What would be the hash table where M=N=11 and collisions are taken care of using separate chaining? 3. Would a size N for the bucket array be able to exist, so that no collisions happen with thehash function h(x) = | 2x + 5 | mod 11 and the keys above?
Computing Values of a Hash FunctionInstead of 10,000 students, suppose there are only 6. Define a functionH, from the set of student ID numbers to the set {0, 1, 2, 3, 4, 5, 6,7, 8, 9, 10} as follows:H(n) = n mod 11 for each ID number n.To compute values of H either use a calculator or a computer with abuilt-in mod function or use the formula n mod 11 = n - (n div 11). Inother words, divide n by 11, multiply the integer part of the resultby 11, and subtract that number from n.As an example, since 328343419/11 = 29849401.73.H(328343419) = 328343419 - (11 * 29849401) = 8. To store the link tothe record for the student with ID number n, start by computing H(n).For instance, if the ID numbers are 328343419, 356633102, 223799061,607275830 and 513408716, calculate the hash values and comment in detailwith mathematical justification on the hash function.
python In simple uniform hashing, each key is assumed to have equal probability to map to any ofthe hashes in a given table of size m. Given an open-address table of size 100 and 2random keys, what is the probability that they hash to the same value? What is theprobability that they hash to different values?