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  2. MapReduce - Wikipedia

    en.wikipedia.org/wiki/MapReduce

    MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...

  3. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...

  4. Dyadic transformation - Wikipedia

    en.wikipedia.org/wiki/Dyadic_transformation

    The dyadic transformation provides an example of how a simple 1-dimensional map can give rise to chaos. This map readily generalizes to several others. This map readily generalizes to several others. An important one is the beta transformation , defined as T β ( x ) = β x mod 1 {\displaystyle T_{\beta }(x)=\beta x{\bmod {1}}} .

  5. Liouville's theorem (conformal mappings) - Wikipedia

    en.wikipedia.org/wiki/Liouville's_theorem...

    In mathematics, Liouville's theorem, proved by Joseph Liouville in 1850, [1] is a rigidity theorem about conformal mappings in Euclidean space.It states that every smooth conformal mapping on a domain of R n, where n > 2, can be expressed as a composition of translations, similarities, orthogonal transformations and inversions: they are Möbius transformations (in n dimensions).

  6. List of common coordinate transformations - Wikipedia

    en.wikipedia.org/wiki/List_of_common_coordinate...

    Note: solving for ′ returns the resultant angle in the first quadrant (< <). To find , one must refer to the original Cartesian coordinate, determine the quadrant in which lies (for example, (3,−3) [Cartesian] lies in QIV), then use the following to solve for :

  7. Watershed (image processing) - Wikipedia

    en.wikipedia.org/wiki/Watershed_(image_processing)

    The watershed transformation treats the image it operates upon like a topographic map, with the brightness of each point representing its height, and finds the lines that run along the tops of ridges. There are different technical definitions of a watershed.

  8. Pushforward measure - Wikipedia

    en.wikipedia.org/wiki/Pushforward_measure

    They map a probability space into a codomain space and endow that space with a probability measure defined by the pushforward. Furthermore, because random variables are functions (and hence total functions), the inverse image of the whole codomain is the whole domain, and the measure of the whole domain is 1, so the measure of the whole ...

  9. Matched Z-transform method - Wikipedia

    en.wikipedia.org/wiki/Matched_Z-transform_method

    The labeled frequency points and band-edge dotted lines have also been mapped through the function z=e iωT, to show how frequencies along the iω axis in the s-plane map onto the unit circle in the z-plane.