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  2. List of finite element software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_finite_element...

    PyMFEM (Python) Python, Scilab or Matlab Python bindings to some functionality Python Other: Predefined equations: Yes, many predefined physics and multiphysics interfaces in COMSOL Multiphysics and its add-ons. A large number of Bilinear and Linear forms

  3. Stochastic programming - Wikipedia

    en.wikipedia.org/wiki/Stochastic_programming

    In the field of mathematical optimization, stochastic programming is a framework for modeling optimization problems that involve uncertainty. A stochastic program is an optimization problem in which some or all problem parameters are uncertain, but follow known probability distributions .

  4. Functional programming - Wikipedia

    en.wikipedia.org/wiki/Functional_programming

    Similarly, the idea of immutable data from functional programming is often included in imperative programming languages, [108] for example the tuple in Python, which is an immutable array, and Object.freeze() in JavaScript. [109]

  5. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.

  6. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    Simplified example of training a neural network in object detection: The network is trained by multiple images that are known to depict starfish and sea urchins, which are correlated with "nodes" that represent visual features. The starfish match with a ringed texture and a star outline, whereas most sea urchins match with a striped texture and ...

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  8. Open source - Wikipedia

    en.wikipedia.org/wiki/Open_source

    Alternative arrangements have also been shown to result in good creation outside of the proprietary license model. Examples include: [citation needed] Wikipedia is an example of a global application of the open-source model. Creation for its own sake – For example, Wikipedia editors add content for recreation. Artists have a drive to create.