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  2. File:Flowchart for ClustalW Algorithm.svg - Wikipedia

    en.wikipedia.org/wiki/File:Flowchart_for...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  3. 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.

  4. Flowgorithm - Wikipedia

    en.wikipedia.org/wiki/Flowgorithm

    Flowgorithm is a graphical authoring tool which allows users to write and execute programs using flowcharts. The approach is designed to emphasize the algorithm rather than the syntax of a specific programming language. [1] The flowchart can be converted to several major programming languages. Flowgorithm was created at Sacramento State ...

  5. SmartDraw - Wikipedia

    en.wikipedia.org/wiki/SmartDraw

    SmartDraw lets you add diagrams to Microsoft Office products including Word, PowerPoint, and Excel and Google Workspace applications like Google Docs and Google Sheets. SmartDraw has apps for Atlassian's Confluence, Jira, and Trello. SmartDraw lets users save files to Sharepoint, OneDrive, Google Drive, Dropbox, and Box.

  6. Algorithm - Wikipedia

    en.wikipedia.org/wiki/Algorithm

    Flowchart of using successive subtractions to find the greatest common divisor of number r and s. In mathematics and computer science, an algorithm (/ ˈ æ l ɡ ə r ɪ ð əm / ⓘ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. [1]

  7. Decision tree - Wikipedia

    en.wikipedia.org/wiki/Decision_tree

    A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes).

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