
- storing strings in order to support fast pattern matching and prefix matching.
Standard Tries
- A standard trie is an ordered tree T: define S be a set of s strings from alphabet Σ such that no string in S is a prefix of another string.
- Each node of T , except the root, is labeled with a character of Σ.
- The children of an internal node of T have distinct labels.
- T has s leaves, each associated with a string of S
- A standard trie storing a collection S of s strings of total length n from an alphabet Σ:
- The height of T is equal to the length of the longest string in S.
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Every internal node of T has at most Σ children. - T has s leaves.
- The number of nodes of T is at most n + 1
- There is a potential space inefficiency in the standard trie that has prompted the development of the compressed trie
Compressed Tries
- Let T be a standard trie. We say that an internal node v of T is redundant if v has one child and is not the root.
- Advantange over a standard trie: the number of nodes is proportional to the number of strings rather than their total
- A compressed trie storing a collection S of s strings from an alphabet of size d has the following properties:
- Every internal node has at leaset two children and most d children
- has s leaves nodes
- number of nodes is O(s)
Suffix Tries
- the strings in the collection S are all the suffixes of a string X
- The compact representation of a suffix trie T for a string X of length n uses O(n) space.
- efficiently perform pattern-matching queries on text X




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