Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

Geometric algorithms

Te lang geleden voor docent- en roosterinformatie
Website:website containing additional information
Contents:In many areas of computer science -- robotics, computer graphics and virtual reality, and geographic information systems are some examples -- it is necessary to store, analyze, and create or manipulate spatial data. This course deals with the algorithmic aspects of these tasks: we study the design and analysis of geometric algorithms and data structures.
Literature:M. de Berg, M. Overmars, M. van Kreveld, and O. Schwarzkopf. Computational Geometry: Algorithms and Applications (2nd edition). Springer-Verlag, Heidelberg, 2000. ISBN 3-540-65620-0.
Course form:Two lectures of in total 5 hours per week. Throughout the lectures assignments will be done too.
Exam form:Homework exams that will be distributed twice (40%), and in the exam week there will be a final exam (60%). Each item has to be scored with at least a 5 to pass the course. The final exam is "closed book".
Minimum effort to qualify for 2nd chance exam:Om aan de aanvullende toets te mogen meedoen is ontbreken van ten hoogte 1 toetsactiviteit toegestaan.
Description:We will study various algorithmic techniques and geometric concepts that are useful to solve geometric problems efficiently. Algorithmic techniques include plane sweep, randomized incremental construction, and multi-level data structures; geometric concepts include Voronoi diagrams and Delaunay triangulations, arrangements, and duality. We will apply these techniques to solve a variety of problems: convex-hull computation, line-segment intersection, polygon triangulation, low-dimensional linear programming, range searching, point location are some examples. Each problem we study is motivated by a practical problem from one of the application areas.