Introduction to Java Programming and Data Structures, Comprehensive Version (11th Edition)
11th Edition
ISBN: 9780134670942
Author: Y. Daniel Liang
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 27.6, Problem 27.6.3CP
Program Plan Intro
Open Addressing:
- Open Addressing is a method of finding an open location in the hash table at the time of collision.
- There are several variations for open addressing such as linear probing, quadratic probing, and double hashing.
Separate Chaining:
Instead of placing all the entries that has the same hash index in new locations, separate chaining places it in the same location. In separate chaining, each location uses a bucket to hold the multiple entries.
Load Factor:
Load factor is used to measure how full a hash table is. It is defined as the ratio between the number of elements in the hash table and the hash table size.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Insert the following keys: 19, 50, 89, 39 into the given table using
Double Hashing - Size of a Hash Table is 5
Note: let n = 3, and the second hash functions have the following formula:
g(k) = n – (k % n)
Index
1
2
3
4
Number
Key Value
(k)
No of
Collisions
Total No of
Collisions
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.
mplement a hash table for strings. Create two hashing functions. It is up to you which type of chaining/probing you use. Add several (>10) strings to the hash table and display the table. Repeat this using a second, different hash function on the same strings. You should make your own hash functions.
Chapter 27 Solutions
Introduction to Java Programming and Data Structures, Comprehensive Version (11th Edition)
Ch. 27.2 - Prob. 27.2.1CPCh. 27.3 - Prob. 27.3.1CPCh. 27.3 - Prob. 27.3.2CPCh. 27.3 - Prob. 27.3.3CPCh. 27.3 - Prob. 27.3.4CPCh. 27.3 - Prob. 27.3.5CPCh. 27.3 - Prob. 27.3.6CPCh. 27.3 - If N is an integer power of the power of 2, is N /...Ch. 27.3 - Prob. 27.3.8CPCh. 27.3 - Prob. 27.3.9CP
Ch. 27.4 - Prob. 27.4.1CPCh. 27.4 - Prob. 27.4.2CPCh. 27.4 - Prob. 27.4.3CPCh. 27.4 - Prob. 27.4.4CPCh. 27.4 - Prob. 27.4.5CPCh. 27.4 - Prob. 27.4.6CPCh. 27.5 - Prob. 27.5.1CPCh. 27.6 - Prob. 27.6.1CPCh. 27.6 - Prob. 27.6.2CPCh. 27.6 - Prob. 27.6.3CPCh. 27.7 - Prob. 27.7.1CPCh. 27.7 - What are the integers resulted from 32 1, 32 2,...Ch. 27.7 - Prob. 27.7.3CPCh. 27.7 - Describe how the put(key, value) method is...Ch. 27.7 - Prob. 27.7.5CPCh. 27.7 - Show the output of the following code:...Ch. 27.7 - If x is a negative int value, will x (N 1) be...Ch. 27.8 - Prob. 27.8.1CPCh. 27.8 - Prob. 27.8.2CPCh. 27.8 - Can lines 100103 in Listing 27.4 be removed?Ch. 27.8 - Prob. 27.8.4CPCh. 27 - Prob. 27.1PECh. 27 - Prob. 27.2PECh. 27 - (Modify MyHashMap with duplicate keys) Modify...Ch. 27 - Prob. 27.6PECh. 27 - Prob. 27.7PECh. 27 - Prob. 27.8PECh. 27 - Prob. 27.10PECh. 27 - Prob. 27.11PECh. 27 - (setToList) Write the following method that...Ch. 27 - (The Date class) Design a class named Date that...Ch. 27 - (The Point class) Design a class named Point that...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- Using double Hashing, insert items with keys: 69, 86, 33, 47, 17, 55 into an empty hash table. tableSize: 7 hash1(x) = x mod tableSize. hash₂(x) = R-(x mod R), R is a prime number smaller than tableSize hash1(x) + hash2(x) mod tableSizearrow_forward3. 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)arrow_forwardSelect an integer N where 12 < N < 60. Rehash the original hash table to the larger hash table array and then insert your selected integer N into the larger hash table array as well. array:8 16 33 43 12arrow_forward
- Assume a hash table utilizes an array of 13 elements and that collisions are handled by separate chaining. Considering the hash function is defined as: h(k)=k mod 13. i) Draw the contents of the table after inserting elements with the following keys: 36, 243, 261, 180, 217, 180, 21, 16, 182, 202, 91, 97, 166, 78, 33, 70, 51, 58.arrow_forwardInsert into a hash table with a maximum size of 10, the following keywords- apple, grape, orange, pineapple Hash function use Division . methodIf there is a collision handling with Linear Probing Create the final result hash tablearrow_forwardGiven values below: 66 47 87 900 126 140 145 500 177 285 393 395 467 566 620 735 Store 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. And Store the values into a hash table that uses the hash function key % 10 to determine into which of ten chains (separate chaining) to put the value?arrow_forward
- Class HashTable: Implement a hash table to store integers (including negative ones). stored in the table int[] data. Use the hash function: h(x) = (x · 701) mod 2000. The table size is 2000. Ensure non-negative indices between 0 and 1999. Implement the following methods: insert(int key): Inserts the integer into the table. Returns true if successful, false if the element is already in the table. search(int key): Searches for the integer in the table. Returns true if found, false otherwise. delete(int key): Deletes the integer from the table. Returns true if successful, false otherwise. Class HashTable2: Implement a second hash table using a different hash function and collision resolution strategy. Keys are integers (including negative ones). Use the hash function: ℎ(�)=(�⋅53)mod 100h(x)=(x⋅53)mod100. The table size is 100. Ensure non-negative indices between 0 and 99. Implement the following methods: insert(int key): Inserts the integer into the table. Returns true if…arrow_forwardAll of the values in our poorly created hash map have been placed in the same bucket. Why does this go against the purpose of using a hash map in the first place?arrow_forwardFive keys 8, 25, 10, 15, 18 have been added to a hash table of size 4 that uses Separate Chaining using hash function h(x) resultant hash-table. = x % 4. Show the You have to insert two more keys 43 and 92 into the hash table. The designer of the hash table decided to resize the table by doubling its size when the load factor reaches or exceeds 1.5. Draw the new hash table after the insertions. The keys 2222, 1118, 1323, 2, 343, 2133, 155 and 95 are inserted into an initially empty hash table of length 10 using open addressing with hash function h(k) = k mod 10 with linear probing. What is the resultant hash table?arrow_forward
- What’s wrong of designing a hash function that adds up the words of a message and uses the result as the hash output?arrow_forwardJump to level 1 An empty hash table hashTable has 15 buckets and a hash function of key % 15. The following operations are performed in order. Select which operations cause a collision. HashInsert(hashTable, 33) HashInsert(hash Table, 3) HashInsert(hash Table, 44) HashInsert(hash Table, 18) HashInsert(hash Table, 48)arrow_forwardThe hash code for Strings can be calculated once, at the time the String is created, which could potentially reduce its complexity.The precomputed value would be returned by subsequent calls to hashCode. This has the potential to be promising because a String's value never changes. How would you rate the effectiveness of such a procedure?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Database System ConceptsComputer ScienceISBN:9780078022159Author:Abraham Silberschatz Professor, Henry F. Korth, S. SudarshanPublisher:McGraw-Hill EducationStarting Out with Python (4th Edition)Computer ScienceISBN:9780134444321Author:Tony GaddisPublisher:PEARSONDigital Fundamentals (11th Edition)Computer ScienceISBN:9780132737968Author:Thomas L. FloydPublisher:PEARSON
- C How to Program (8th Edition)Computer ScienceISBN:9780133976892Author:Paul J. Deitel, Harvey DeitelPublisher:PEARSONDatabase Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781337627900Author:Carlos Coronel, Steven MorrisPublisher:Cengage LearningProgrammable Logic ControllersComputer ScienceISBN:9780073373843Author:Frank D. PetruzellaPublisher:McGraw-Hill Education
Database System Concepts
Computer Science
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:McGraw-Hill Education
Starting Out with Python (4th Edition)
Computer Science
ISBN:9780134444321
Author:Tony Gaddis
Publisher:PEARSON
Digital Fundamentals (11th Edition)
Computer Science
ISBN:9780132737968
Author:Thomas L. Floyd
Publisher:PEARSON
C How to Program (8th Edition)
Computer Science
ISBN:9780133976892
Author:Paul J. Deitel, Harvey Deitel
Publisher:PEARSON
Database Systems: Design, Implementation, & Manag...
Computer Science
ISBN:9781337627900
Author:Carlos Coronel, Steven Morris
Publisher:Cengage Learning
Programmable Logic Controllers
Computer Science
ISBN:9780073373843
Author:Frank D. Petruzella
Publisher:McGraw-Hill Education