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采用尝试地图数据结构

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  • 标      签: map Academic Trie

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This is a collection of libraries for efficient Search mechanisms in Java. Current libs consists of: 1. TrieMap: A simplistic Trie based Map with O(M) complexity where M is the number of bits in the search Key 1. Digital Search Trie: A simplistic Digital Search Trie with key values on each node. Average Complexity is O(lg M) where M is the number of bits in the search Key and leads to a balanced Binary Tree for a random set of fixed and unique keys. 1. Binary Trie: A simplistic Binary Trie with insert and search complxity of O(lg M) where M is the number of bits in the search Key and leads to a balanced Binary Tree for a random set of fixed and unique keys. 1. Patricia Trie: A Simple binary Patricia Trie (Radix =2). This trie does not check for similar bits, is more space optimized and is faster that all the other binary Tries. Work In Progress: 1. String based Patricia Trie 2. String based

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