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  2. List of algorithms - Wikipedia

    en.wikipedia.org/wiki/List_of_algorithms

    An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.

  3. Computer science - Wikipedia

    en.wikipedia.org/wiki/Computer_science

    Unlike in most other academic fields, in computer science, the prestige of conference papers is greater than that of journal publications. [ 77 ] [ 78 ] One proposed explanation for this is the quick development of this relatively new field requires rapid review and distribution of results, a task better handled by conferences than by journals.

  4. Outline of computer programming - Wikipedia

    en.wikipedia.org/.../Outline_of_computer_programming

    Programming involves activities such as analysis, developing understanding, generating algorithms, verification of requirements of algorithms including their correctness and resources consumption, and implementation (commonly referred to as coding [1] [2]) of algorithms in a target programming language.

  5. Computer programming - Wikipedia

    en.wikipedia.org/wiki/Computer_programming

    Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1] [2] It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages.

  6. Pseudocode - Wikipedia

    en.wikipedia.org/wiki/Pseudocode

    An alternative to using mathematical pseudocode (involving set theory notation or matrix operations) for documentation of algorithms is to use a formal mathematical programming language that is a mix of non-ASCII mathematical notation and program control structures. Then the code can be parsed and interpreted by a machine.

  7. P versus NP problem - Wikipedia

    en.wikipedia.org/wiki/P_versus_NP_problem

    An example is the simplex algorithm in linear programming, which works surprisingly well in practice; despite having exponential worst-case time complexity, it runs on par with the best known polynomial-time algorithms.

  8. Algorithm engineering - Wikipedia

    en.wikipedia.org/wiki/Algorithm_engineering

    The 1997 Workshop on Algorithm Engineering (WAE'97) was held in Venice (Italy) on September 11–13, 1997. The Third International Workshop on Algorithm Engineering (WAE'99) was held in London, UK in July 1999. [6] The first Workshop on Algorithm Engineering and Experimentation (ALENEX99) was held in Baltimore, Maryland on January 15–16, 1999 ...

  9. Answer set programming - Wikipedia

    en.wikipedia.org/wiki/Answer_set_programming

    The ASP standardization working group produced a standard language specification, called ASP-Core-2, [14] towards which recent ASP systems are converging. ASP-Core-2 is the reference language for the Answer Set Programming Competition, in which ASP solvers are periodically benchmarked over a number of reference problems.