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During the last weeks I tried to figure out how to efficiently find a string pattern within another string.

I found out that for a long time, the most efficient way would have been using a suffix tree. However, since this data structure is very expensive in space, I studied the use of suffix arrays further (which use far less space). Different papers such as "Suffix Arrays: A new method for on-line string searches" (Manber & Myers, 1993) state, that searching for a substring can be realised in O(P+log(N)) (where P is the length of the pattern and N is length of the string) by using binary search and suffix arrays along with LCP arrays.

I especially studied the latter paper to understand the search algorithm. This answer did a great job in helping me understand the algorithm (and incidentally made it into the LCP Wikipedia Page).

But I am still looking for an way to implement this algorithm. Especially the construction of the mentioned LCP-LR arrays seems very complicated.

References:

Manber & Myers, 1993: Manber, Udi ; Myers, Gene, SIAM Journal on Computing, 1993, Vol.22(5), pp.935-948, http://epubs.siam.org/doi/pdf/10.1137/0222058

UPDATE 1

Just to emphasize on what I am interested in: I understood LCP arrays and I found ways to implement them. However, the "plain" LCP array would not be appropriate for efficient pattern matching (as described in the reference). Thus I am interested in implementing LCP-LR arrays which seems much more complicated than just implementing an LCP array

UPDATE 2

Added link to referenced paper

See Question&Answers more detail:os

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The termin that can help you: enchanced suffix array, which is used to describe suffix array with various other arrays in order to replace suffix tree (lcp, child).

These can be some of the examples:

https://code.google.com/p/esaxx/ ESAXX

http://bibiserv.techfak.uni-bielefeld.de/mkesa/ MKESA

The esaxx one seems to be doing what you want, plus, it has example enumSubstring.cpp how to use it.


If you take a look at the referenced paper, it mentions an useful property (4.2). Since SO does not support math, there is no point to copy it here.

I've done quick implementation, it uses segment tree:

// note that arrSize is O(n)
// int arrSize = 2 * 2 ^ (log(N) + 1) + 1; // start from 1

// LCP = new int[N];
// fill the LCP...
// LCP_LR = new int[arrSize];
// memset(LCP_LR, maxValueOfInteger, arrSize);
// 

// init: buildLCP_LR(1, 1, N);
// LCP_LR[1] == [1..N]
// LCP_LR[2] == [1..N/2]
// LCP_LR[3] == [N/2+1 .. N]

// rangeI = LCP_LR[i]
//   rangeILeft  = LCP_LR[2 * i]
//   rangeIRight = LCP_LR[2 * i + 1]
// ..etc
void buildLCP_LR(int index, int low, int high)
{
    if(low == high)
    {
        LCP_LR[index] = LCP[low];
        return;
    }

    int mid = (low + high) / 2;

    buildLCP_LR(2*index, low, mid);
    buildLCP_LR(2*index+1, mid + 1, high);

    LCP_LR[index] = min(LCP_LR[2*index], LCP_LR[2*index + 1]);
}

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