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  2. Critical path method - Wikipedia

    en.wikipedia.org/wiki/Critical_path_method

    The critical path method (CPM), or critical path analysis (CPA), is an algorithm for scheduling a set of project activities. [1] A critical path is determined by identifying the longest stretch of dependent activities and measuring the time [ 2 ] required to complete them from start to finish.

  3. Symbolab - Wikipedia

    en.wikipedia.org/wiki/Symbolab

    Symbolab is an answer engine [1] that provides step-by-step solutions to mathematical problems in a range of subjects. [2] It was originally developed by Israeli start-up company EqsQuest Ltd., under whom it was released for public use in 2011.

  4. Critical path drag - Wikipedia

    en.wikipedia.org/wiki/Critical_path_drag

    Critical path drag is a project management metric [1] developed by Stephen Devaux as part of the Total Project Control (TPC) approach to schedule analysis and compression [2] in the critical path method of scheduling. Critical path drag is the amount of time that an activity or constraint on the critical path is adding to the project duration ...

  5. Carry-skip adder - Wikipedia

    en.wikipedia.org/wiki/Carry-skip_adder

    The critical path of a carry-skip-adder begins at the first full-adder, passes through all adders and ends at the sum-bit .Carry-skip-adders are chained (see block-carry-skip-adders) to reduce the overall critical path, since a single -bit carry-skip-adder has no real speed benefit compared to a -bit ripple-carry adder.

  6. Genius (mathematics software) - Wikipedia

    en.wikipedia.org/wiki/Genius_(mathematics_software)

    Genius (also known as the Genius Math Tool) is a free open-source numerical computing environment and programming language, [2] similar in some aspects to MATLAB, GNU Octave, Mathematica and Maple. Genius is aimed at mathematical experimentation rather than computationally intensive tasks. It is also very useful as just a calculator.

  7. Analysis of parallel algorithms - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_parallel...

    The depth may also be called the critical path length of the computation. [7] Minimizing the depth/span is important in designing parallel algorithms, because the depth/span determines the shortest possible execution time. [ 8 ]

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  9. Criticality index - Wikipedia

    en.wikipedia.org/wiki/Criticality_index

    During a (e.g. Monte Carlo) simulation tasks can join or leave the critical path for any given iteration. The Criticality Index expresses how often a particular task was on the Critical Path during the analysis. Tasks with a high Criticality Index are more likely to cause delay to the project as they are more likely to be on the Critical Path.