suffix-tree

Find longest repeating substring in string?

两盒软妹~` 提交于 2019-12-01 12:06:10
问题 I came across below program which looks perfect. Per me its time complexity is nlogn where n is the length of String. n for storing different strings,nlog for sorting, n for comparison. So time complexity is nlogn. Space complexity is n for storing the storing n substrings My question is can it be further optimized ? public class LRS { // return the longest common prefix of s and t public static String lcp(String s, String t) { int n = Math.min(s.length(), t.length()); for (int i = 0; i < n;

Looking for the suffix tree implementation in C#?

那年仲夏 提交于 2019-11-30 13:58:18
问题 I've implemented a basic search for a research project. I'm trying to make the search more efficient by building a suffix tree. I'm interested in a C# implementation of the Ukkonen algorith. I don't want to waste time rolling my own if such implementation exists. 回答1: Hei, just finished implementing .NET (c#) library containing different trie implementations. Among them: Classical trie Patricia trie Suffix trie A trie using Ukkonen's algorithm I tried to make source code easy readable. Usage

Complete Suffix Array

我怕爱的太早我们不能终老 提交于 2019-11-30 05:57:05
A suffix array will index all the suffixes for a given list of strings, but what if you're trying to index all the possible unique substrings? I'm a bit new at this, so here's an example of what I mean: Given the string abcd A suffix array indexes (at least to my understanding) (abcd,bcd,cd,d) I would like to index (all the substrings) (abcd,bcd,cd,d,abc,bc,c,ab,b,a) Is a suffix array what I'm looking for? If so, what do I do to get all the substrings indexed? If not, where should I be looking? Also what would I google for to contrast "all substrings" vs "suffix substrings"? The suffix array

Successive adding of char to get the longest word in the dictionary [closed]

房东的猫 提交于 2019-11-30 04:13:01
Given a dictionary of words and an initial character. find the longest possible word in the dictionary by successively adding a character to the word. At any given instance the word should be valid word in the dictionary. ex : a -> at -> cat -> cart -> chart .... The brute force approach would be to try adding letters to each available index using a depth-first search. So, starting with 'a', there are two places you can add a new letter. In front or behind the 'a', represented by dots below. .a. If you add a 't', there are now three positions. .a.t. You can try adding all 26 letters to each

Understanding Ukkonen's algorithm for suffix trees [duplicate]

三世轮回 提交于 2019-11-29 22:19:03
This question already has an answer here: Ukkonen's suffix tree algorithm in plain English 7 answers I'm doing some work with Ukkonen's algorithm for building suffix trees, but I'm not understanding some parts of the author's explanation for it's linear-time complexity. I have learned the algorithm and have coded it, but the paper which I'm using as the main source of information (linked bellow) is kinda confusing at some parts so it's not really clear for me why the algorithm is linear. Any help? Thanks. Link to Ukkonen's paper: http://www.cs.helsinki.fi/u/ukkonen/SuffixT1withFigs.pdf Find a

Complete Suffix Array

我的梦境 提交于 2019-11-29 05:39:19
问题 A suffix array will index all the suffixes for a given list of strings, but what if you're trying to index all the possible unique substrings? I'm a bit new at this, so here's an example of what I mean: Given the string abcd A suffix array indexes (at least to my understanding) (abcd,bcd,cd,d) I would like to index (all the substrings) (abcd,bcd,cd,d,abc,bc,c,ab,b,a) Is a suffix array what I'm looking for? If so, what do I do to get all the substrings indexed? If not, where should I be

Maximum and minimum number of nodes in a suffix tree [closed]

时光怂恿深爱的人放手 提交于 2019-11-29 02:06:14
What are the maximum and minimum number of nodes in a suffix tree? And how can I prove it? Assuming an input text of N characters in length, the minimum number of nodes, including the root node and all leaf nodes, is N+1 , the maximum number of nodes, including the root and leaves, is 2N-1 . Proof of minimum: There must be at least one leaf node for every suffix, and there are N suffixes. There need not be any inner nodes, example: if the text is a sequence of unique symbols, abc$ , there are no branches, hence no inner nodes in the resulting suffix tree: Hence the minimum is N leaves, 0 inner

Successive adding of char to get the longest word in the dictionary [closed]

你离开我真会死。 提交于 2019-11-29 01:00:35
问题 It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center. Closed 9 years ago . Given a dictionary of words and an initial character. find the longest possible word in the dictionary by successively adding a character to the word. At any given instance the word should be valid word in the

suffix tree implementation in python [closed]

百般思念 提交于 2019-11-28 20:54:25
Just wondering if you are aware of any C based extension in python that can help me construct suffix trees/arrays in linear time ? Abhijeet Rastogi You can checkout the following implementations. http://www.daimi.au.dk/~mailund/suffix_tree.html https://hkn.eecs.berkeley.edu/~dyoo/python/suffix_trees/ https://github.com/kvh/Python-Suffix-Tree A guy improved (first one) and put it here. http://researchonsearch.blogspot.com/2010/05/suffix-tree-implementation-with-unicode.html All are C implementations. 来源: https://stackoverflow.com/questions/8996137/suffix-tree-implementation-in-python

Suffix tree and Tries. What is the difference?

人走茶凉 提交于 2019-11-28 15:25:08
I am reading about Tries commonly known as Prefix trees and Suffix Trees . Although I have found code for a Trie I can not find an example for a Suffix Tree . Also I get the feeling that the code that builds a Trie is the same as the one for a Suffix Tree with the only difference that in the former case we store prefixes but in the latter suffixes. Is this true? Can anyone help me clear this out in my head? An example code would be great help! Ze Blob A suffix tree can be viewed as a data structure built on top of a trie where, instead of just adding the string itself into the trie, you would