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Description: This an implementation of double-array structure for representing trie,
as proposed by Junichi Aoe [1].
Trie is a kind of digital search tree, an efficient indexing method with
O(1) time complexity for searching. Comparably as efficient as hashing,
trie also provides flexibility on incremental matching and key spelling
manipulation. This makes it ideal for lexical analyzers, as well as spelling
dictionaries.
See the details of the implementation at [2]:
http://linux.thai.net/~thep/datrie/datrie.html
Historically, this was first implemented as C++ classes in a library called
midatrie [2], but later simplified and rewritten from scratch in C.-This is an implementation of double-array structure for representing trie,
as proposed by Junichi Aoe [1].
Trie is a kind of digital search tree, an efficient indexing method with
O(1) time complexity for searching. Comparably as efficient as hashing,
trie also provides flexibility on incremental matching and key spelling
manipulation. This makes it ideal for lexical analyzers, as well as spelling
dictionaries.
See the details of the implementation at [2]:
http://linux.thai.net/~thep/datrie/datrie.html
Historically, this was first implemented as C++ classes in a library called
midatrie [2], but later simplified and rewritten from scratch in C.
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Size: 34816 |
Author: lucoy |
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Description: 2-3-4Trees and Red-Black Trees 2-3-4Trees and Red-Black Trees-2-3-4Trees and Red-Black Trees 2-3-4Trees and Red-Black Trees 2-3-4Trees and Red-Black Trees
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Size: 121856 |
Author: Ardy |
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Description: this codes is about double hashing
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Size: 1024 |
Author: shima |
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Description: The Hash Table. The way of hashing is Double hashing. It menas you use hash 2 times
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Size: 14336 |
Author: ain |
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Description: CS2208 - Data Structures Lab (Anna University)
EXERCISES
1a. Implement singly linked lists.
1b. Implement doubly linked lists.
2. Represent a polynomial as a linked list and write functions for polynomial addition.
3. Implement stack and use it to convert infix to postfix expression
4. Implement a double-ended queue (dequeue) where insertion and deletion operations are possible at both the ends.
5. Implement an expression tree. Produce its pre-order, in-order, and postorder traversals.
6. Implement binary search tree.
7. Implement insertion in AVL trees.
8. Implement priority queue using binary heaps
9. Implement hashing with open addressing.
10. Implement Prim s algorithm using priority queues to find MST of an undirected graph.
Platform: |
Size: 209920 |
Author: Narayana Swamy |
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