Faculty of Technical Sciences

Subject: Combinatorial and geometry algorithms (17.D0M32Z)

Native organizations units: No data
General information:
 
Category Scientific-professional
Scientific or art field Teorijska i primenjena matematika
Interdisciplinary Yes
ECTS 10
Educational goal:

Introduction of advanced topics in theory of geometric algorithms, as well as their application to solving standard geometric problems

Educational outcome:

Upon completion of the course, the student should master the basic concepts of storing the geometric objects using proper data structures, as well as efficient algorithms used for manipulation of geometric objects. Also, the student should be capable of modifying the existing algorithms to fit the need.

Course content:

Data structures for storing geometric objects. Deterministic methods for manipulation of point sets, Divide-and-conquer, sweeping. Closest pair, furthest pair. Random sample methods. Sample theorem, moment theorem. Probabilistic algorithms, online algorithms, dynamic algorithms. Convex hull, polytopes. Various incremental algorithms for finding the convex hull of a set of points. Convex hull in 2 dimensions, relation to array sorting. Convex hull of a set of balls. Smallest enclosing ball containing given points. Triangulations in 2 dimensions, with or without restrictions. Delaunay triangulation, triangulations in 3 dimensions. Simplices and complexes. Art gallery problems. Binary space partitions. Painter’s algorithm. Quadtrees and octrees. Hyperplane arrangements, discrepancy. Zone Theorem. Line arrangements in the plane, duality, and arrangements of segments in the plane.

Teaching methods:

Lectures, with active participation of the students, discussion, etc. A student is supposed to write a seminar paper.

Literature:
Authors Title Year Publisher Language
De Berg, M. et al. Computational Geometry: Algorithms and Applications 2008 Springer, Berlin English
Jiri Matousek Lectures on Discrete Geometry 2002 Springer English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Term paper Yes Yes 20.00
Lecture attendance Yes Yes 10.00
Oral part of the exam No Yes 70.00
Lecturers:

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.