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Approximation Algorithms

Semester
Summer 2012
Summer 2023Summer 2021Winter 2019/2020Summer 2017Summer 2015Summer 2009
Module #INF-ALG-14
Event # INF-ALG-015 , INF-ALG-016
ProgrammesComputer Science Master, Computer and Communication Systems Engineering Master, Business Information Systems Master
IBR GroupALG (Prof. Fekete)
TypeLecture & Exercise
Lecturer
Photo
Prof. Dr. Sándor P. Fekete
Abteilungsleiter
s.fekete[[at]]tu-bs.de
+49 531 3913111
Room 335
Assistant
Photo
Dr. Christiane Schmidt
Ehemalige Wissenschaftliche Mitarbeiterin
Credits5
Hours2+1+1
Time & Place

Lecture: Tuesday, 15:00 - 16:30 Room IZ161
Exercises: Thursday, 15:00 - 16:30, Room IZ161, start: TBA.
Small Tutorial: Wednesday, 16:45 - 18:15, Room IZ161.

Start

Lecture: 17.04.2012, Exercises: 26.04.2012, small Tutorial: 02.05.2012

Prerequisites
Certificates (Homework assignments during the semester, and)* an oral exam at the end. (*=Studienleistung)
Content Many interesting and natural algorithmic problems (e.g., the Traveling Salesman Problem) are NP-complete - hence, we cannot expect to find a "perfect" algorithm that (i) always and (ii) fast finds (iii) an optimal solution. However, hard problems still need to be solved! In this class we consider algorithms that do not necessarily find an optimal solution, but that (i) always and (ii) fast find a (iii) provably good solution. Prerequisites are knowledge of algorithms and data structures, basic graph problems and graph algorithms (e.g., as provided in the lecture "Netzwerkalgorithmen"); basic knowledge from theoretic computer science (NP-completeness) are helpful, but will definitely be supplemented. Among the topics of this class are: (1) A basic introduction to NP-completeness and approximation (2) Approximation for vertex and set cover (3) Packing problems (4) Tour problems and variations (5) Current research problems In the context of various problems, a wide spectrum of techniques and concepts will be provided.

Announcements and Dates

    General Information

    • Two lectures will take place in the tutorial slot: lecture from June 12, on June 14; and lecture from June 19 on June 25.
    • Schedule of all lectures, tutorials etc.: [PDF] [12.04.12]

    Homework Sets

    • homework set 0: [PDF]
    • homework set 1: [PDF]
    • homework set 2: [PDF]
    • homework set 3: [PDF]
    • homework set 4: [PDF]
    • homework set 5: [PDF]

    Literature:

    • Vazirani, Vijay V.: Approximation Algorithms, Springer-Verlag, 2001.
    • Approximation Algorithms for NP-hard problems edited by Dorit S. Hochbaum, more info.

    mailing list

  • There is a mailing list. We will distribute the homework sets and other announcements via this list, so, please subscribe! In case of technical difficulties pleas send an email to Christiane.
  • material for the class

    material for the class (videos)


    last changed 2012-07-06, 18:42 by Dr. Christiane Schmidt

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