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Released under the GNU General Public License, Gmsh is free software. Gmsh contains 4 modules: for geometry description, meshing, solving and post-processing. Gmsh supports parametric input and has advanced visualization mechanisms. Since version 3.0, Gmsh supports full constructive solid geometry features, based on Open Cascade Technology. [1] [2]
This is an accepted version of this page This is the latest accepted revision, reviewed on 8 January 2025. There is 1 pending revision awaiting review. Family of Unix-like operating systems This article is about the family of operating systems. For the kernel, see Linux kernel. For other uses, see Linux (disambiguation). Operating system Linux Tux the penguin, the mascot of Linux Developer ...
Therefore, there was a strong controversy around the update of the GNU GPLv2 to the GNU GPLv3 in 2007, [50] [51] as the updated license is not compatible with the previous version. [ 52 ] [ 53 ] [ 54 ] Several projects (mostly of the open source faction [ 51 ] like the Linux kernel [ 55 ] [ 56 ] ) decided to not adopt the GPLv3 while almost all ...
In 1983, Richard Stallman announced the GNU (short for "GNU's Not Unix") project, an ambitious effort to create a free software Unix-like system—"free" in the sense that everyone who received a copy would be free to use, study
Security descriptor for a file that is read-only by default, specified no access for Elvis, read/write access for Cathy, and full access for Ida, the owner of the file [141] Windows is a proprietary operating system that is widely used on desktop computers, laptops, tablets, phones, workstations , enterprise servers , and Xbox consoles. [ 142 ]
All R version releases from 2.14.0 onward have codenames that make reference to Peanuts comics and films. [42] [43] [44] In 2018, core R developer Peter Dalgaard presented a history of R releases since 1997. [45] Some notable early releases before the named releases include: Version 1.0.0 released on February 29, 2000 (2000-02-29), a leap day
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.
Torvalds has described Git as being very fast and scalable, [37] and performance tests done by Mozilla [38] showed that it was an order of magnitude faster diffing large repositories than Mercurial and GNU Bazaar; fetching version history from a locally stored repository can be one hundred times faster than fetching it from the remote server.