lcp array造句
例句与造句
- Rather than the actual LCP array, this algorithm builds the " permuted"
- The algorithm is also rather simple ( < 100 LOC ) and can be enhanced to simultaneously construct the LCP array.
- Thus, using suffix array and LCP array information, the decision query can be answered as fast as using the suffix tree.
- The LCP array is also an essential part of compressed suffix trees which provide full suffix tree functionality like suffix links and lowest common ancestor queries.
- In computer science, the "'longest common prefix array "'( LCP array ) is an auxiliary data structure to the suffix array.
- It's difficult to find lcp array in a sentence. 用lcp array造句挺难的
- ,the currently fastest linear-time LCP array construction algorithm is due to, which in turn is based on one of the fastest suffix array construction algorithms by.
- As you said, the standard LCP array tells you the lcp of consecutive entries only, i . e . lcp ( x-1, x ) for any x.
- The longest repeated substring problem for a string S of length n can be solved in \ Theta ( n ) time using both the suffix array A and the LCP array.
- It is sufficient to perform a linear scan through the LCP array in order to find its maximum value v _ { max } and the corresponding index i where v _ { max } is stored.
- Augmenting the suffix array with the LCP array allows one to efficiently simulate top-down and bottom-up traversals of the suffix tree, speeds up pattern matching on the suffix array and is a prerequisite for compressed suffix trees.
- Moreover, there is a straightforward recursive algorithm to compute the 2 * N values of LCP-LR in O ( N ) time from the standard LCP array I'd suggest posting a separate question if you need a detailed description of that.
- Assuming that each text symbol takes one byte and each entry of the suffix or LCP array takes 4 bytes, the major drawback of their algorithm is a large space occupancy of 13n bytes, while the original output ( text, suffix array, LCP array ) only occupies 9n bytes.
- Assuming that each text symbol takes one byte and each entry of the suffix or LCP array takes 4 bytes, the major drawback of their algorithm is a large space occupancy of 13n bytes, while the original output ( text, suffix array, LCP array ) only occupies 9n bytes.
- The remainder of this section explains two applications of the LCP array in more detail : How the suffix array and the LCP array of a string can be used to construct the corresponding suffix tree and how it is possible to answer LCP queries for arbitrary suffixes using range minimum queries on the LCP array.
- The remainder of this section explains two applications of the LCP array in more detail : How the suffix array and the LCP array of a string can be used to construct the corresponding suffix tree and how it is possible to answer LCP queries for arbitrary suffixes using range minimum queries on the LCP array.
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