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Course, academic year 2025/2026
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Introduction to Discrete and Computational Geometry - NMMB444
Title: Introduction to Discrete and Computational Geometry
Guaranteed by: Department of Algebra (32-KA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2025
Semester: summer
E-Credits: 5
Hours per week, examination: summer s.:2/1, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
Guarantor: Maria Saumell i Mendiola, M.Sc., Ph.D.
Teacher(s): Maria Saumell i Mendiola, M.Sc., Ph.D.
Class: M Mgr. MMIB > Povinně volitelné
Classification: Mathematics > Algebra
Annotation -
The course intends to introduce the students to the discipline of Discrete and Computational Geometry. The main goal of the course is to get familiar with the most fundamental notions of this discipline, and to be able to solve simple algorithmic problems with a geometric component.
Last update: Žemlička Jan, doc. Mgr. et Mgr., Ph.D. (21.05.2025)
Literature -

Franco P. Preparata, Michael Ian Shamos. Computational Geometry: An Introduction. Springer, 1985.

Mark Berg, Marc Kreveld, Mark Overmars, Otfried Cheong Schwarzkopf. Computational Geometry: Algorithms and Applications. Springer, 2000.

Jacob E. Goodman, Joseph O'Rourke, and Csaba D. Tóth (ed.). Handbook of Discrete and Computational Geometry (third edition). CRC Press, 2017.

Last update: Žemlička Jan, doc. Mgr. et Mgr., Ph.D. (21.05.2025)
Syllabus -

Lectures:

1. Introduction to Discrete and Computational Geometry

2. Convexity

3. Convex hull in two dimensions

4. Intersection of polygons

5. Triangulations of polygons and point sets

6. Voronoi diagram and Delaunay triangulation

7. Arrangements of lines

8. Duality transforms

9. Linear programming in two dimensions

10. Point location

11. Introduction to polytopes

Tutorials:

Discrete and Computational Geometry.

Tutorial 3: Convexity.

Tutorial 4: Convex hull in two dimensions.

Tutorial 5: Intersection of polygons.

Tutorial 6: Triangulations of polygons and point sets.

Tutorial 7: Voronoi diagram and Delaunay triangulation.

Tutorial 8: Semestral test.

Tutorial 9: Arrangements of lines.

Tutorial 10: Duality transforms.

Tutorial 11: Linear programming in two dimensions.

Tutorial 12: Point location.

Tutorial 13: Polytopes.

Last update: Žemlička Jan, doc. Mgr. et Mgr., Ph.D. (21.05.2025)
Entry requirements -

The students are expected to be familiar with the basic notions of combinatorics, graph theory and analysis of algorithms.

Last update: Žemlička Jan, doc. Mgr. et Mgr., Ph.D. (21.05.2025)
 
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