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  2. Flowchart - Wikipedia

    en.wikipedia.org/wiki/Flowchart

    A simple flowchart representing a process for dealing with a non-functioning lamp.. A flowchart is a type of diagram that represents a workflow or process.A flowchart can also be defined as a diagrammatic representation of an algorithm, a step-by-step approach to solving a task.

  3. Structure chart - Wikipedia

    en.wikipedia.org/wiki/Structure_Chart

    Example of a Structured Chart. [1] A structure chart (SC) in software engineering and organizational theory is a chart which shows the smallest of a system to its lowest manageable levels. [2] They are used in structured programming to arrange program modules into a tree. Each module is represented by a box, which contains the module's name.

  4. Pseudocode - Wikipedia

    en.wikipedia.org/wiki/Pseudocode

    Pseudocode resembles skeleton programs, which can be compiled without errors. Flowcharts, drakon-charts and Unified Modelling Language (UML) charts can be thought of as a graphical alternative to pseudocode, but need more space on paper. Languages such as bridge the gap between pseudocode and code written in programming languages.

  5. Algorithmic state machine - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_State_Machine

    To illustrate, using Dineley's example (A+BC)(A+C): […] The zeroes resulting from A+BC will be located wherever both A and BC are zero. Therefore we locate on the map the expression A * BC (which is equal to A * B + A * C). Similarly the zeroes of A+C are located and plotted at A * C. With all zeroes located, the rest of the map can be filled ...

  6. Nassi–Shneiderman diagram - Wikipedia

    en.wikipedia.org/wiki/Nassi–Shneiderman_diagram

    Example of a Nassi–Shneiderman diagram. A Nassi–Shneiderman diagram (NSD) in computer programming is a graphical design representation for structured programming. [1] This type of diagram was developed in 1972 by Isaac Nassi and Ben Shneiderman who were both graduate students at Stony Brook University. [2]

  7. Firefly algorithm - Wikipedia

    en.wikipedia.org/wiki/Firefly_algorithm

    In pseudocode the algorithm can be stated as: Begin 1) Objective function: (), = (,,...,); 2) Generate an initial population of fireflies (=,, …,);. 3) Formulate light intensity I so that it is associated with () (for example, for maximization problems, () or simply = ();) 4) Define absorption coefficient γ while (t < MaxGeneration) for i = 1 : n (all n fireflies) for j = 1 : i (n fireflies ...

  8. Graham scan - Wikipedia

    en.wikipedia.org/wiki/Graham_scan

    The pseudocode below uses a function ccw: ccw > 0 if three points make a counter-clockwise turn, ccw < 0 if clockwise, and ccw = 0 if collinear. (In real applications, if the coordinates are arbitrary real numbers, the function requires exact comparison of floating-point numbers, and one has to beware of numeric singularities for "nearly ...

  9. Boyer–Moore majority vote algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_majority_vote...

    At the end of this process, if the sequence has a majority, it will be the element stored by the algorithm. This can be expressed in pseudocode as the following steps: Initialize an element m and a counter c with c = 0; For each element x of the input sequence: If c = 0, then assign m = x and c = 1; else if m = x, then assign c = c + 1; else ...

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