Organization profile

Introduction / mission

Geometric algorithms is the field within algorithms research that is concerned with the design and analysis of efficient algorithms and data structures for problems involving geometric objects in 2-, 3-, and higher-dimensional space.

Organisational profile

The Applied Geometric Algorithms group mainly focuses on geometric algorithms for spatial data and applications of geometric algorithms in the areas of GIScience and Smart Mobility (including Automated Cartography, Geo-Visualization, and Moving Object Analysis), Visual Analytics, Mobile Agents, and e-Humanities. Our approaches frequently combine the rigorous methods from computational geometry – which give performance guarantees with respect to both the quality of solutions and the running time of algorithms – with efficient engineering to achieve results of both theoretical and practical significance.

Spatially Informed Visualization
Complex Moving Objects
Stability
Mobile Agents
e-Humanities

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Profiles

Arthur I. van Goethem

a.i.v.goethem@tue.nl

Department of Mathematics and Computer Science, Applied Geometric Algorithms
Department of Mathematics and Computer Science, Algorithms and Visualization W&I - Assistant Professor

Person: UD : Assistant Professor

Irina Kostitsyna

i.kostitsyna@tue.nl

Department of Mathematics and Computer Science, Applied Geometric Algorithms
Department of Mathematics and Computer Science, Algorithms and Visualization W&I - Assistant Professor

Person: UD : Assistant Professor

Wouter Meulemans

w.meulemans@tue.nl

Department of Mathematics and Computer Science, Applied Geometric Algorithms
Department of Mathematics and Computer Science, Algorithms and Visualization W&I - Assistant Professor

Person: UD : Assistant Professor

Research Output

Convex Hull Formation for Programmable Matter

Daymude, J. J., Gmyr, R., Hinnenthal, K., Kostitsyna, I., Scheideler, C. & Richa, A. W., 19 Feb 2020, ICDCN 2020: Proceedings of the 21st International Conference on Distributed Computing and Networking. New York: Association for Computing Machinery, Inc, 10 p. 2

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Open Access

Forming tile shapes with simple robots

Gmyr, R., Hinnenthal, K., Kostitsyna, I., Kuhn, F., Rudolph, D., Scheideler, C. & Strothmann, T., 1 Jun 2020, In : Natural Computing. 19, 2, p. 375-390 16 p.

Research output: Contribution to journal › Article › Academic › peer-review