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  2. Generalized normal distribution - Wikipedia

    en.wikipedia.org/wiki/Generalized_normal...

    The generalized normal distribution (GND) or generalized Gaussian distribution (GGD) is either of two families of parametric continuous probability distributions on the real line. Both families add a shape parameter to the normal distribution. To distinguish the two families, they are referred to below as "symmetric" and "asymmetric"; however ...

  3. Geometrically necessary dislocations - Wikipedia

    en.wikipedia.org/wiki/Geometrically_necessary...

    Geometrically necessary dislocations can lower their free energy by stacking one atop another (see Peach-Koehler formula for dislocation-dislocation stresses) and form low-angle tilt boundaries. This movement often requires the dislocations to climb to different glide planes, so an annealing at elevated temperature is often necessary. The ...

  4. File:FRD GND.svg - Wikipedia

    en.wikipedia.org/wiki/File:FRD_GND.svg

    This work has been released into the public domain by its author, Urhixidur.This applies worldwide. In some countries this may not be legally possible; if so: Urhixidur grants anyone the right to use this work for any purpose, without any conditions, unless such conditions are required by law.

  5. GND - Wikipedia

    en.wikipedia.org/wiki/GND

    GND may refer to: Graduated neutral density filter; Green New Deal; Ground (electricity) Gemeinsame Normdatei (Integrated Authority File) Maurice Bishop International Airport in Grenada; Zulgo-Gemzek language, spoken in Cameroon; Gabriel Nadeau-Dubois, a politician in Quebec; Geometrically necessary dislocations

  6. Indentation size effect - Wikipedia

    en.wikipedia.org/wiki/Indentation_size_effect

    Geometrically necessary dislocations (GND) on the other hand are formed, in addition to the dislocations statistically present, to maintain continuity within the material. These additional geometrically necessary dislocations (GND) further increase the flow stress in the material and therefore the measured hardness.

  7. Model-free (reinforcement learning) - Wikipedia

    en.wikipedia.org/wiki/Model-free_(reinforcement...

    Model-free RL algorithms can start from a blank policy candidate and achieve superhuman performance in many complex tasks, including Atari games, StarCraft and Go.Deep neural networks are responsible for recent artificial intelligence breakthroughs, and they can be combined with RL to create superhuman agents such as Google DeepMind's AlphaGo.

  8. List of common 3D test models - Wikipedia

    en.wikipedia.org/wiki/List_of_common_3D_test_models

    3DModels, a collection of vehicle 3D models; 3DBar, a collection of free 3D models; NASA 3D Models, NASA 3D models to use for educational or informational purposes; VRML Models from ORC Incorporated, 3D models in VRML format; 3dRender.com: Lighting Challenges, regularly held lighting challenges, complete with scene and models for each challenge

  9. Graduated neutral-density filter - Wikipedia

    en.wikipedia.org/wiki/Graduated_neutral-density...

    Note that clouds that are washed out without the GND filter show detail behind the filter. A graduated neutral-density filter , also known as a graduated ND filter , split neutral-density filter , or just a graduated filter , is an optical filter that has a variable light transmission.