A hash pointer is Answers: The name that the blockchain is using to refer to a regular linked list pointer The result of hashing the value of a linked list pointer A pointer to some data together with a hash of that data A pointer to some data's hash code

A hash pointer is Answers: The name that the blockchain is using to refer to a regular linked list pointer The result of hashing the value of a linked list pointer A pointer to some data together with a hash of that data A pointer to some data's hash code

Name: Need help with this computer science problem A hash pointer isAnswers:
Uploaded: 2024-03-20T06:51:23.000Z
Channel: Bartleby
Description: Need help with this computer science problem A hash pointer isAnswers:The name that the blockchain is using to refer to a regular linked list pointerThe result of hashing the value of a linked list pointerA pointer to some data together with a hash o

Programming Logic & Design Comprehensive

9th Edition

ISBN:9781337669405

Author:FARRELL

Publisher:FARRELL

Chapter8: Advanced Data Handling Concepts

Section: Chapter Questions

Problem 20RQ

See similar textbooks

Similar questions

Assume an open addressing hash table implementation, where the size of the array is N = 19, and that double hashing is performed for collision handling. The second hash function is defined as: d(k) = q -k mod q, where k is the key being inserted in the table and the prime number q is = 7. Use simple modular operation (k mod N) for the first hash function. i) Show the content of the table after performing the following operations, in order:put(45), put(25), put(12), put(61), put(38), put(88), remove(12), put(39), remove(61), put(18), put(29), put(29), put(35).i) What is the size of the longest cluster caused by the above insertions? ii) What is the number of occurred collisions as a result of the above operations? iii) What is the current value of the table’s load factor?
Write a C program that implements a hash table with chaining for collision resolution. The program should allow the user to add, search, and delete elements from the hash table. When a collision occurs, the program should use a linked list to store multiple elements with the same hash value. The program should also keep track of the number of collisions and provide a way to display the entire hash table.
Our hash map data are all stored in a single LinkedList because of the sloppy way the map was built. As a result, a hash map loses some of its utility.
L is a list of data elements that is linear. Use the list as follows: I a linear open addressed hash table with the appropriate hash function; and (ii) a prioritised list.Use a) hashing and b) search to find a list of keys on the representations I and ii). Binary search is defined as (b). Compare how well the two methods performed over the list L.
Please convert to C language //linear probing#include <bits/stdc++.h>using namespace std; void add_using_linear_probing(int hash[], int a){ //hash function h(x)=x%10 int k = a % 10; //linear probing while (true) { if (hash[k] == -1) { hash[k] = a; break; } k = (k + 1) % 10; //linear increment of probe }} int main(){ //set of input numbers vector<int> arr{ 123, 124, 333, 4679, 983 }; //initialize the hash table //each entry of the hash table is a single entry int hash[10]; //size of hashtable is 10 memset(hash, -1, sizeof(hash)); //initialize with empty initially for (int a : arr) { //hashing add_using_linear_probing(hash, a); } cout << "---------using linear probing---------\n"; cout << "Hash table is:\n"; for (int i = 0; i < 10; i++) { if (hash[i] == -1) cout << i << "->" << "Empty" <<…
Our description of static hashing assumes that a large contiguous stretch of disk blocks can be allocated to a static hash table. Suppose you can allocate only C contiguous blocks. Suggest how to implement the hash table, if it can be much larger than C blocks. Access to a block should still be efficient.
Create a collection. Along with GETMAX, MAXSTACK offers the ADT commands PUSH, POP, and EMPTYSTACK and performs similar operations to a standard linked stack. The GETMAX function keeps track of the largest stack member. Can the collection be constructed using GETMAX, which only requires O(1) time complexity? don't copy old bartleby answer it's wrong
LinkedLists are used to hold all of our hash map data because of the shoddy way the map was originally built. This significantly reduces a hash map's efficiency.
Poor hash mapping means that every value is stored in the same place (that is, they are all in the same LinkedList). A hash map has failed in its intended purpose.
Please convert to C language //double hashing#include <bits/stdc++.h>using namespace std; int digit(int a){ return to_string(a).length();} void add_using_double_hashing(int hash[], int a){ //hash function h1(x)=x%10 //hash function h2(x)=digit(x) //for incrementing probing int k = a % 10; //double hashing int count = 1; while (true) { if (hash[k] == -1) { hash[k] = a; break; } //double hashing for incrementing prob length k = (k + count * digit(a)) % 10; count++; }} int main(){ //set of input numbers vector<int> arr{ 123, 124, 333, 4679, 983 }; //initialize the hash table //each entry of the hash table is a single entry int hash[10]; //size of hashtable is 10 //initialize with empty initially memset(hash, -1, sizeof(hash)); for (int a : arr) { //hashing add_using_double_hashing(hash, a); } cout << "---------using double…
Suppose we have a table: Doctor (DOCNO INT, DocName INT, Specialization VARCHAR(10), Salary Float) and it has an extendible hashing index. The hash function h (k) uses two rightmost bits of binary value of the number k and global depth of the directory structure is 2. The bucket size is four records ie it can store upto 4 records. Insert the elements 13, 22, 4, 2, 19, 6, 14, 16, 26, 28, 8, 7, 23,24 using extendible hashing technique.
Hashing is a technique that is used to uniquely identify a specific object from a group of similar objects. Can you use one or two real-world example(s) to explain what a "hash" really is? How can a programmer implement it? Pls, give a thorough ans.