Home > Science > Math > Geometry > Computational Geometry
Computational geometry is in some sense the intersection of computer science and geometry, studying efficient algorithms for solving geometric problems.
http://compgeom.cs.uiuc.edu/~jeffe/compgeom/taskforce.html
Computational Geometry Impact Task Force Report, chaired by Bernard Chazelle, about the relation between computational geometry and various application fields. This page also archives the discussion that it caused (which was intended) and related links.
http://www.arxiv.org/list/cs.CG/recent
Section of the Computing Research Repository (CoRR), moderated by Joseph O'Rourke.
http://www.cs.brown.edu/cgc/cgc-brown.html
A long-term project to transfer technology from Computational Geometry to applied fields. Members, publications, meetings, prototypes, resources.
http://cgm.cs.mcgill.ca/~godfried/teaching/cg-web.html
Course notes and resource links.
http://compgeom.cs.uiuc.edu/~jeffe/compgeom/
Jeff Erickson's directory of computational geometry resources, including bibliographies, journals, software, and related hubs.
http://cgm.cs.mcgill.ca/~godfried/teaching/cg-projects/97/Ian/cutting_ears.html
Algorithms for polygonal geometry by Ian Garton.
http://compgeom.cs.uiuc.edu/~jeffe/compgeom/geombib/geombib_1.html
An ongoing project compiling a reasonably complete BibTeX bibliography of papers in computational geometry.
http://www-cgrl.cs.mcgill.ca/~godfried/research.html
Mainly in computational geometry, e.g., mobility of objects in space, degeneracies, quadrangulations, tomography, triangulation, proximity, facility location, and polygonal approximation.
http://www.cs.brown.edu/people/rt/sdcr/cg.html
Resources and final report of the Computational Geometry Working Group, formed as part of the ACM Workshop on Strategic Directions in Computing Research, held at MIT in 1996.
http://www.cs.brown.edu/people/rt/sdcr/report/report.html
ACM/NSF Working Group Report chaired by Roberto Tamassia, intended to complement the Application Challenges to Computational Geometry by suggesting overall research directions instead of specific problem areas.
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