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Computational Geometry Algorithms Library 3.6

Computational Geometry Algorithms Library (CGAL) offers data structures

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Last Week downloads: 0
Total downloads: 205
  • Last Updated: May 4, 2010
  • License: LGPL Free
  • OS: Windows /Linux/Mac OS/BSD/Solaris
  • Requirements: No special requirements
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For Computational Geometry Algorithms Library 3.6Publisher's description

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Computational Geometry Algorithms Library is a Scripts software developed by CGAL Team. After our trial and test, the software is proved to be official, secure and free. Here is the official description for Computational Geometry Algorithms Library:

BS Editor: The goal of the CGAL Open Source Project is to provide easy access to efficient and reliable Geometric algorithms in the form of a C++ Library. CGAL is used in various areas needing geometric computation, such as: computer graphics, scientific visualization, computer aided design and modeling, geographic information systems, molecular biology, medical imaging, robotics and motion planning, mesh generation, numerical methods... More on the projects using CGAL web page.

The Computational Geometry Algorithms Library (CGAL), offers data structures and algorithms like triangulations (2D constrained triangulations and Delaunay triangulations in 2D and 3D, periodic triangulations in 3D), Voronoi Diagrams (for 2D and 3D points, 2D additively weighted Voronoi diagrams, and segment Voronoi diagrams), polygons (Boolean operations, offsets, straight skeleton), polyhedra (Boolean operations), arrangements of curves and their applications (2D and 3D envelopes, Minkowski sums), mesh generation (2D Delaunay mesh generation and 3D surface and volume mesh generation, skin surfaces), geometry processing (surface mesh simplification, subdivision and parameterization, as well as estimation of local differential properties, and approximation of ridges and umbilics), ALPHA shapes, convex hull algorithms (in 2D, 3D and dD), search structures (kd trees for nearest neighbor search, and range and segment trees), interpolation (natural neighbor interpolation and placement of streamlines), shape Analysis, fitting, and distances (smallest enclosing sphere of points or spheres, smallest enclosing ellipsoid of points, principal component analysis), and kinetic data structures.

All these data structures and algorithms operate on geometric objects like points and segments, and perform geometric tests on them. These objects and predicates are regrouped in CGAL Kernels.
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