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  2. Jenkins hash function - Wikipedia

    en.wikipedia.org/wiki/Jenkins_hash_function

    The lookup3 function consumes input in 12 byte (96 bit) chunks. [9] It may be appropriate when speed is more important than simplicity. Note, though, that any speed improvement from the use of this hash is only likely to be useful for large keys, and that the increased complexity may also have speed consequences such as preventing an optimizing compiler from inlining the hash function.

  3. List of open-source bioinformatics software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    A workflow management system used for building and running scalable and reproducible bioinformatics pipelines, especially in cloud and high-performance computing environments. Linux, macOS, Windows: Apache License 2.0 Nextflow Team [6] PathVisio: Desktop software for drawing, analyzing, and visualizing biological pathways Linux, macOS, Windows ...

  4. Profiling (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Profiling_(computer...

    A profiler can be applied to an individual method or at the scale of a module or program, to identify performance bottlenecks by making long-running code obvious. [1] A profiler can be used to understand code from a timing point of view, with the objective of optimizing it to handle various runtime conditions [2] or various loads. [3]

  5. Action at a distance (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Action_at_a_distance...

    In particular, Albert Einstein referred to quantum nonlocality as "spooky action at a distance". Software bugs due to action at a distance may arise because a program component is doing something at the wrong time, or affecting something it should not. It is very difficult, however, to track down which component is responsible.

  6. Mixed-data sampling - Wikipedia

    en.wikipedia.org/wiki/Mixed-data_sampling

    The MIDAS can also be used for machine learning time series and panel data nowcasting. [6] [7] The machine learning MIDAS regressions involve Legendre polynomials.High-dimensional mixed frequency time series regressions involve certain data structures that once taken into account should improve the performance of unrestricted estimators in small samples.

  7. Spectral leakage - Wikipedia

    en.wikipedia.org/wiki/Spectral_leakage

    The frequency axis has units of FFT "bins" when the window of length N is applied to data and a transform of length N is computed. For instance, the value at frequency ⁠ 1 / 2 ⁠ "bin" is the response that would be measured in bins k and k + 1 to a sinusoidal signal at frequency k + ⁠ 1 / 2 ⁠. It is relative to the maximum possible ...

  8. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  9. Spatial frequency - Wikipedia

    en.wikipedia.org/wiki/Spatial_frequency

    The SI unit of spatial frequency is the reciprocal metre (m −1), [1] although cycles per meter (c/m) is also common. In image-processing applications, spatial frequency is often expressed in units of cycles per millimeter (c/mm) or also line pairs per millimeter (LP/mm). In wave propagation, the spatial frequency is also known as wavenumber.