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  2. Burrows–Wheeler transform - Wikipedia

    en.wikipedia.org/wiki/Burrows–Wheeler_transform

    The Burrows–Wheeler transform (BWT, also called block-sorting compression) rearranges a character string into runs of similar characters. This is useful for compression, since it tends to be easy to compress a string that has runs of repeated characters by techniques such as move-to-front transform and run-length encoding .

  3. Rope (data structure) - Wikipedia

    en.wikipedia.org/wiki/Rope_(data_structure)

    The split point is at the end of a string (i.e. after the last character of a leaf node) The split point is in the middle of a string. The second case reduces to the first by splitting the string at the split point to create two new leaf nodes, then creating a new node that is the parent of the two component strings.

  4. Compressed pattern matching - Wikipedia

    en.wikipedia.org/wiki/Compressed_pattern_matching

    A Dictionary-based Compressed Pattern Matching Algorithm (PDF), archived from the original (PDF) on March 13, 2003 "A unifying framework for compressed pattern matching". 1999: 89–96. CiteSeerX 10.1.1.50.1745. {{cite journal}}: Cite journal requires |journal= "Speeding Up String Pattern Matching by Text Compression: The Dawn of a New Era" (PDF).

  5. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    Ukkonen's 1985 algorithm takes a string p, called the pattern, and a constant k; it then builds a deterministic finite state automaton that finds, in an arbitrary string s, a substring whose edit distance to p is at most k [13] (cf. the Aho–Corasick algorithm, which similarly constructs an automaton to search for any of a number of patterns ...

  6. LZ4 (compression algorithm) - Wikipedia

    en.wikipedia.org/wiki/LZ4_(compression_algorithm)

    The string of literals comes after the token and any extra bytes needed to indicate string length. This is followed by an offset that indicates how far back in the output buffer to begin copying. The extra bytes (if any) of the match-length come at the end of the sequence. [6] [7] Compression can be carried out in a stream or in blocks.

  7. Lempel–Ziv–Welch - Wikipedia

    en.wikipedia.org/wiki/Lempel–Ziv–Welch

    When such a string is found, the index for the string without the last character (i.e., the longest substring that is in the dictionary) is retrieved from the dictionary and sent to output, and the new string (including the last character) is added to the dictionary with the next available code. The last input character is then used as the next ...

  8. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    An alternative view can show compression algorithms implicitly map strings into implicit feature space vectors, and compression-based similarity measures compute similarity within these feature spaces. For each compressor C(.) we define an associated vector space ℵ, such that C(.) maps an input string x, corresponding to the vector norm ||~x||.

  9. CYK algorithm - Wikipedia

    en.wikipedia.org/wiki/CYK_algorithm

    In informal terms, this algorithm considers every possible substring of the input string and sets [,,] to be true if the substring of length starting from can be generated from the nonterminal . Once it has considered substrings of length 1, it goes on to substrings of length 2, and so on.