Learn how to create Hash Table using Separate Chaining in C Programming Language. The separate chaining hash table implementation makes use of Linked List in C Programming. There are different hashing algorithms such as Bucket Hashing, Linear Probing, Separate Chaining, etc.
- C Program To Implement Dictionary Using Hashing Algorithms Online
- C Program To Implement Dictionary Using Hashing Algorithms
- How To Implement Dictionary In Java
- Dictionary
![Hashing Hashing](/uploads/1/2/4/7/124728305/367297586.gif)
Hash tables offers finding the element in less key comparisons, making the search operation to execute in a Constant Time. Therefore, the search time for the element is independent of the number of records.
Hash Table Program in C - Learn Data Structures and Algorithm using c, C++ and Java in simple and easy steps starting from basic to advanced concepts with examples including Overview, Environment Setup, Algorithm, Asymptotic Analysis, Greedy Algorithms, Divide and Conquer, Dynamic Programming, Data Structures, Array, Linked List, Doubly Linked.
Separate Chaining Concept
In separate chaining implementation of hash tables, linked lists are used for elements that have the same hash address. The hash tables in this scenario does not include the actual keys and records. It contains only an array of pointers where pointer points to a linked list.
All the elements having the same hash address will be stored in a separate linked list and the starting address of that particular linked list will be stored in the index of the hash table. In the chaining method, the comparisons are done only with the keys that have the same hash values.
The disadvantage of Separate Chaining is that it needs an extra space for storing pointers which is dependent on the table size and the records.
Note: This code For Hash Table Implementation in C Programming using Separate Chaining is developed using gEdit Editor and compiled using GCC in Linux Ubuntu Operating System.C Program For Hash Table using Separate Chaining and Linked List
2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 100 102 104 106 108 110 112 114 116 118 120 122 124 126 128 130 132 134 136 138 140 142 144 146 148 150 152 154 156 158 160 162 164 166 168 170 172 | #include<stdlib.h> #define MAX 20 structEmployee intemployee_id; intemployee_age; { structRecord *link; voidinsert(structEmployee employee_record,structRecord *hash_table[]); intsearch_element(intkey,structRecord *hash_table[]); voidremove_record(intkey,structRecord *hash_table[]); inthash_function(intkey); intmain() structRecord *hash_table[MAX]; intcount,key,option; { } { printf('2. Search for a Recordn'); printf('4. Show Hash Tablen'); printf('Enter your optionn'); switch(option) case1: printf('Employee ID:t'); printf('Employee Name:t'); printf('Employee Age:t'); insert(employee_record,hash_table); case2: scanf('%d',&key); if(count-1) printf('Element Not Foundn'); else printf('Element Found in Chain:t%dn',count); break; printf('Enter the element to delete:t'); remove_record(key,hash_table); case4: break; exit(1); } } voidinsert(structEmployee employee_record,structRecord *hash_table[]) intkey,h; key=employee_record.employee_id; { return; h=hash_function(key); temp->data=employee_record; hash_table[h]=temp; { structRecord *ptr; { if(hash_table[count]!=NULL) ptr=hash_table[count]; { printf('%d %s %dt',ptr->data.employee_id,ptr->data.employee_name,ptr->data.employee_age); } } } intsearch_element(intkey,structRecord *hash_table[]) inth; h=hash_function(key); while(ptr!=NULL) if(ptr->data.employee_idkey) returnh; ptr=ptr->link; return-1; voidremove_record(intkey,structRecord *hash_table[]) inth; h=hash_function(key); { return; if(hash_table[h]->data.employee_idkey) temp=hash_table[h]; free(temp); } while(ptr->link!=NULL) if(ptr->link->data.employee_idkey) temp=ptr->link; free(temp); } } } inthash_function(intkey) return(key%MAX); |
Output
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C Program To Implement Dictionary Using Hashing Algorithms Online
Related
Which data structure can be used for efficiently building a word dictionary and Spell Checker?
The answer depends upon the functionalists required in Spell Checker and availability of memory. For example following are few possibilities.
C Program To Implement Dictionary Using Hashing Algorithms
Hashingis one simple option for this. We can put all words in a hash table. Refer this paper which compares hashing with self-balancing Binary Search Trees and Skip List, and shows that hashing performs better.
Hashing doesn’t support operations like prefix search. Prefix search is something where a user types a prefix and your dictionary shows all words starting with that prefix. Hashing also doesn’t support efficient printing of all words in dictionary in alphabetical order and nearest neighbor search.
If we want both operations, look up and prefix search, Trie is suited. With Trie, we can support all operations like insert, search, delete in O(n) time where n is length of the word to be processed. Another advantage of Trie is, we can print all words in alphabetical order which is not possible with hashing.
The disadvantage of Trie is, it requires lots of space. If space is concern, then Ternary Search Treecan be preferred. In Ternary Search Tree, time complexity of search operation is O(h) where h is height of the tree. Ternary Search Trees also supports other operations supported by Trie like prefix search, alphabetical order printing and nearest neighbor search.
How To Implement Dictionary In Java
If we want to support suggestions, like google shows “did you mean …”, then we need to find the closest word in dictionary. The closest word can be defined as the word that can be obtained with minimum number of character transformations (add, delete, replace). A Naive way is to take the given word and generate all words which are 1 distance (1 edit or 1 delete or 1 replace) away and one by one look them in dictionary. If nothing found, then look for all words which are 2 distant and so on. There are many complex algorithms for this. As per the wiki page, The most successful algorithm to date is Andrew Golding and Dan Roth’s Window-based spelling correction algorithm.
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See this for a simple spell checker implementation.
This article is compiled by Piyush. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.