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  2. Shunting yard algorithm - Wikipedia

    en.wikipedia.org/wiki/Shunting_yard_algorithm

    The shunting yard algorithm can also be applied to produce prefix notation (also known as Polish notation). To do this one would simply start from the end of a string of tokens to be parsed and work backwards, reverse the output queue (therefore making the output queue an output stack), and flip the left and right parenthesis behavior ...

  3. Longest common substring - Wikipedia

    en.wikipedia.org/wiki/Longest_common_substring

    The array L stores the length of the longest common suffix of the prefixes S[1..i] and T[1..j] which end at position i and j, respectively. The variable z is used to hold the length of the longest common substring found so far. The set ret is used to hold the set of strings which are of length z.

  4. Operator-precedence parser - Wikipedia

    en.wikipedia.org/wiki/Operator-precedence_parser

    In computer science, an operator-precedence parser is a bottom-up parser that interprets an operator-precedence grammar.For example, most calculators use operator-precedence parsers to convert from the human-readable infix notation relying on order of operations to a format that is optimized for evaluation such as Reverse Polish notation (RPN).

  5. Longest common subsequence - Wikipedia

    en.wikipedia.org/wiki/Longest_common_subsequence

    The prefix S n of S is defined as the first n characters of S. [5] For example, the prefixes of S = (AGCA) are S 0 = S 1 = (A) S 2 = (AG) S 3 = (AGC) S 4 = (AGCA). Let LCS(X, Y) be a function that computes a longest subsequence common to X and Y. Such a function has two interesting properties.

  6. Ukkonen's algorithm - Wikipedia

    en.wikipedia.org/wiki/Ukkonen's_algorithm

    Ukkonen's algorithm constructs an implicit suffix tree T i for each prefix S[1...i] of S (S being the string of length n). It first builds T 1 using the 1 st character, then T 2 using the 2 nd character, then T 3 using the 3 rd character, ..., T n using the n th character. You can find the following characteristics in a suffix tree that uses ...

  7. Shannon–Fano coding - Wikipedia

    en.wikipedia.org/wiki/Shannon–Fano_coding

    For this reason, Shannon–Fano codes are almost never used; Huffman coding is almost as computationally simple and produces prefix codes that always achieve the lowest possible expected code word length, under the constraints that each symbol is represented by a code formed of an integral number of bits. This is a constraint that is often ...

  8. Naming convention (programming) - Wikipedia

    en.wikipedia.org/wiki/Naming_convention...

    By convention, this prefix is only used in cases when the identifier would otherwise be either a reserved keyword (such as for and while), which may not be used as an identifier without the prefix, or a contextual keyword (such as from and where), in which cases the prefix is not strictly required (at least not at its declaration; for example ...

  9. Brace notation - Wikipedia

    en.wikipedia.org/wiki/Brace_notation

    Python is flexible when it comes to details, note var[-1] takes -1 as the index number. That index is interpreted as the first character beginning from the end of the string. Consider 0 as the index boundary for a string; zero is inclusive, hence it will return the first character.