When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Longest common substring - Wikipedia

    en.wikipedia.org/wiki/Longest_common_substring

    Learn the definition, applications and algorithms of the longest common substring problem in computer science. Compare the time and space complexity of suffix tree and dynamic programming methods.

  3. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    Edit distance is a string metric that measures how dissimilar two strings are by counting the minimum number of operations to transform one into the other. Learn about different types of edit distance, their properties and applications, and how to compute them efficiently.

  4. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    Learn about the string metric that measures the difference between two sequences by the minimum number of edits. Find definitions, examples, applications, bounds, and algorithms for computing the Levenshtein distance.

  5. Comparison of programming languages (string functions)

    en.wikipedia.org/wiki/Comparison_of_programming...

    StringLength[string] Mathematica «FUNCTION» LENGTH(string) or «FUNCTION» BYTE-LENGTH(string) number of characters and number of bytes, respectively COBOL: string length string: a decimal string giving the number of characters Tcl: ≢ string: APL: string.len() Number of bytes Rust [30] string.chars().count() Number of Unicode code points ...

  6. String metric - Wikipedia

    en.wikipedia.org/wiki/String_metric

    Only for strings of the same length. Number of changed characters. " ka rol in" and "ka thr in" is 3. Levenshtein distance and Damerau–Levenshtein distance: Generalization of Hamming distance that allows for different length strings, and (with Damerau) for transpositions kitten and sitting have a distance of 3. kitten → sitten (substitution ...

  7. Longest common subsequence - Wikipedia

    en.wikipedia.org/wiki/Longest_common_subsequence

    Learn the definition, properties, and algorithms of the longest common subsequence (LCS) problem, a classic computer science problem with applications in data comparison and bioinformatics. See examples, complexity analysis, and dynamic programming solution for two sequences.

  8. GNU Octave - Wikipedia

    en.wikipedia.org/wiki/GNU_Octave

    GNU Octave is a free software that helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB. It is written in C++ and has a Graphical User Interface (GUI) and an OpenGL-based graphics engine.

  9. String (computer science) - Wikipedia

    en.wikipedia.org/wiki/String_(computer_science)

    A string is a sequence of characters used to store human-readable or machine-readable data in computer programming. Learn about the history, types, length, encoding and operations of strings in different programming languages.