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Klipper is set up on a computer running Linux (such as Raspberry Pi), and in addition, appropriate firmware must be flashed onto the printer's microcontroller. Configuration is done through a text-based configuration file, which allows for customization and control of the printer's behavior. To interact with Klipper, the user needs an interface.
An algorithm generating a mesh is typically controlled by the above three and other parameters. Some types of computer analysis of a constructed design require an adaptive mesh refinement, which is a mesh made finer (using stronger parameters) in regions where the analysis needs more detail. [1] [2]
Adaptive mesh refinement (AMR) changes the spacing of grid points, to change how accurately the solution is known in that region. In the shallow water example, the grid might in general be spaced every few feet—but it could be adaptively refined to have grid points every few inches in places where there are large waves.
SALOME is a multi-platform open source (LGPL-2.1-or-later) scientific computing environment, allowing the realization of industrial studies of physics simulations.. This platform, developed by a partnership between EDF and CEA, sets up an environment for the various stages of a study to be carried out: from the creation of the CAD model and the mesh to the post-processing and visualization of ...
Adaptive histogram equalization (AHE) is a computer image processing technique used to improve contrast in images. It differs from ordinary histogram equalization in the respect that the adaptive method computes several histograms, each corresponding to a distinct section of the image, and uses them to redistribute the lightness values of the image.
hp-FEM is a generalization of the finite element method (FEM) for solving partial differential equations numerically based on piecewise-polynomial approximations. hp-FEM originates from the discovery by Barna A. Szabó and Ivo Babuška that the finite element method converges exponentially fast when the mesh is refined using a suitable combination of h-refinements (dividing elements into ...
The product innovation behind Adaptive Simulations is enabled by adaptive algorithms, based on the research experiments in the areas of numerical analysis, Computational Fluid Dynamics (CFD) and computer science at KTH Institute. These adaptive algorithms are said to make the simulation process less complex, for the inexperienced users.
Adaptive scalable texture compression (ASTC) is a lossy block-based texture compression algorithm developed by Jørn Nystad et al. of ARM Ltd. and AMD. [ 1 ] Full details of ASTC were first presented publicly at the High Performance Graphics 2012 conference, in a paper by Olson et al. entitled "Adaptive Scalable Texture Compression".