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  2. Pipe network analysis - Wikipedia

    en.wikipedia.org/wiki/Pipe_network_analysis

    A major part of this network will consist of interconnected pipes. This network creates a special class of problems in hydraulic design, with solution methods typically referred to as pipe network analysis. Water utilities generally make use of specialized software to automatically solve these problems.

  3. Embarrassingly parallel - Wikipedia

    en.wikipedia.org/wiki/Embarrassingly_parallel

    "Embarrassingly" is used here to refer to parallelization problems which are "embarrassingly easy". [4] The term may imply embarrassment on the part of developers or compilers: "Because so many important problems remain unsolved mainly due to their intrinsic computational complexity, it would be embarrassing not to develop parallel implementations of polynomial homotopy continuation methods."

  4. Parallel task scheduling - Wikipedia

    en.wikipedia.org/wiki/Parallel_task_scheduling

    Parallel task scheduling (also called parallel job scheduling [1] [2] or parallel processing scheduling [3]) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling .

  5. Parareal - Wikipedia

    en.wikipedia.org/wiki/Parareal

    Parareal is a parallel algorithm from numerical analysis and used for the solution of initial value problems. [1] It was introduced in 2001 by Lions, Maday and Turinici.Since then, it has become one of the most widely studied parallel-in-time integration methods.

  6. Axial piston pump - Wikipedia

    en.wikipedia.org/wiki/Axial_piston_pump

    Cutaway side-view diagram of an axial piston pump 3-D rendering of an axial piston pump with the parts labeled Animation of an axial piston pump in operation. An axial piston pump has a number of pistons (usually an odd number) arranged in a circular array within a housing which is commonly referred to as a cylinder block, rotor or barrel.

  7. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. [1] Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.

  8. Parallel algorithm - Wikipedia

    en.wikipedia.org/wiki/Parallel_algorithm

    Some problems cannot be split up into parallel portions, as they require the results from a preceding step to effectively carry on with the next step – these are called inherently serial problem s. Examples include iterative numerical methods , such as Newton's method , iterative solutions to the three-body problem , and most of the available ...

  9. Radial piston pump - Wikipedia

    en.wikipedia.org/wiki/Radial_piston_pump

    When filling the workspace of the pumping pistons from "inside" (e.g., over a hollow shaft) it is called an inside impinged (but outside braced) radial piston pump (picture 1). If the workspace is filled from "outside" it's called an outside impinged radial piston pump (but inside braced) (picture 2). [citation needed]