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  2. Functional reactive programming - Wikipedia

    en.wikipedia.org/.../Functional_reactive_programming

    The original formulation of functional reactive programming can be found in the ICFP 97 paper Functional Reactive Animation by Conal Elliott and Paul Hudak. [1] FRP has taken many forms since its introduction in 1997. One axis of diversity is discrete vs. continuous semantics. Another axis is how FRP systems can be changed dynamically. [2]

  3. Reactive programming - Wikipedia

    en.wikipedia.org/wiki/Reactive_programming

    In computing, reactive programming is a declarative programming paradigm concerned with data streams and the propagation of change. With this paradigm, it is possible to express static (e.g., arrays) or dynamic (e.g., event emitters) data streams with ease, and also communicate that an inferred dependency within the associated execution model exists, which facilitates the automatic propagation ...

  4. Functional programming - Wikipedia

    en.wikipedia.org/wiki/Functional_programming

    Functional programming is very different from imperative programming. The most significant differences stem from the fact that functional programming avoids side effects, which are used in imperative programming to implement state and I/O. Pure functional programming completely prevents side-effects and provides referential transparency.

  5. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    In the native programming model all DMA and program scheduling is left up to the programmer. The hardware provides a fast ring bus among the processors for local communication. Because the local memory for instructions and data is limited the only programs that can exploit this architecture effectively either require a tiny memory footprint or ...

  6. ReactiveX - Wikipedia

    en.wikipedia.org/wiki/ReactiveX

    ReactiveX may be functional, and it may be reactive, but "functional reactive programming" is a different animal. One main point of difference is that functional reactive programming operates on values that change continuously over time, while ReactiveX operates on discrete values that are emitted over time.

  7. Dataflow - Wikipedia

    en.wikipedia.org/wiki/Dataflow

    Distributed data flows have also been proposed as a programming abstraction that captures the dynamics of distributed multi-protocols. The data-centric perspective characteristic of data flow programming promotes high-level functional specifications and simplifies formal reasoning about system components.

  8. 22 health care predictions for 2025 from medical researchers

    www.aol.com/22-health-care-predictions-2025...

    Researchers from Mass General Brigham, a health care system in Boston, Massachusetts, shared with Fox News Digital some of the scientific developments and breakthroughs they expect to see in 2025.

  9. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    Dataflow programming languages share some features of functional languages, and were generally developed in order to bring some functional concepts to a language more suitable for numeric processing. Some authors use the term datastream instead of dataflow to avoid confusion with dataflow computing or dataflow architecture , based on an ...