- 
  Time and Place
  
   Lecture
 :
  
Mondays, 08:15-10:00, SR AE06, Steyrergasse 30, ground  floor
Wednesdays, 10:15-12:00, SR Analysis und Zahlentheorie, Kopernikusgasse 24, second floor (every second week)
  
  
   Practical:
  
Wednesdays, 10:15-12:00, SR Analysis und Zahlentheorie, Kopernikusgasse 24, second  floor (every second week)
 
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Start: Monday,  March  4,  2024, 08:15-10:00, SR AE06, Steyrergasse 30, ground floor
 
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Registration
 
via TUGonline until  March 17, 2024
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    Contents
 
    
    This course deals with concepts from graph theory such as connectivity, trees and decompositions,
      Hamiltonian  cycles, planar graphs, graph coloring, perfect graphs, covering problems and   random graphs.
    Most of the topics will be discussed both from a theoretical and from an algorithmical  point of view.
   
Chapters:
-  Connectivity, trees and decompositions 
 
 
- Hamiltonian cycles
  
-  Planar graphs and plane duality
 
- Colouring problems
 
-  Perfect graphs
 
- Covering problems
  
 
- Random graphs and randomized algorithms
  
 
       
- 
 Literature
 
The main sources of literature
    
      - 
	
	Bella Bollobas, Modern Graph Theory (Graduate Texts in Mathematics), corrected and extended edition, Springer,  2013. 
 
      
 
      - 
	
	  G. Chartrand, L. Lesniak, P. Zhang, Graphs & Digraphs (Textbooks in Mathematics), Taylor & Francis Inc, 6th revised  edition,  2015.
	  
	    
 
      
  - 
    
       R. Diestel, Graph Theory (Graduate Texts in Mathematics), fourth edition, (second,  corrected printing) Springer, 2012
       
 
-  
	M.Ch.Golumbic, Algorithmic graph theory and perfect graphs, second edition, Elsevier Ltd, 2004 
  
 
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Assessment
 
The practical assessment will be permanent and   based on a  score of points collected as follows
  
  
  -   by solving   exercise examples  independently; at most 3 points; 
  At the beginning of every practical class the participants have to declare
  which exercise examples they have solved and prepared for presentation.
  At the end of the course they will be credited with the percentage of the exercise examples they have declared to have  solved during the course multiplied by three 
- 
by presenting the solution of exercise examples  in the class;
 The  presentatation of an exercise example in the class will be credited with at most 4 points corresponding  to the correctness and  completeness of the solution as well as the quality of the presentation. 
- 
 by participating at a written exam at the end of the course; at most 15 points. For a positive grade at the practical you should reach   a minimum of  6 points (out of 15) at the written exam.  
 
 The written exam: The first  possibility to take the writen exam will be at  the end of the course, most probably   on June 28, 15:00-17:00, in SR AE06 (TUGonline-Name STEG050).
 Another possibility will be  around  the beginning of the next winter term.  
The  registration for the exam has to be done via  TUGonline.
 The points collected during the most recent try will count for the assessment . 
    
  The overall score is computed  as follows
  
  P= 3 * ((k)/(k_a)) + 12*(t) + 15 (p),
  where
k    	is the number of exercise examples prepared all along the course,   
k_a   	is the overall number of exercise examples which have been available during the course,
t     	is the overall sum of  points obtained by presenting exercise examples in the class (scaled between 0 and 1)
p     	is the score of the written exam (scaled between 0 und 1),
Grade obtained for the practical  according to the overall score:
5     0 <= P < 15  	
4     15 <= P <= 18 
 3    18 < P <= 22  
2    22 < P <=26   
1    26< P
  
The lecture   will be assessed  by   an oral examination.  
The  dates for the oral exams will be  specified in agreements with the students.
 
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Learning materials
 (pdf)
 
-   General definitions and notations     
 
-   Recall some very basic results on maximum  flows and minimum  cuts in networks    (slides) 
 
For proofs and further results in these topics I refer to Chapter 8 in 
	Bernhard Korte and Jens Vygen, 
Combinatorial Optimization : Theory and algorithms,
Springer, 2012, 
  
eltronically available in TUG campus.
 
-   General  results on connectivity,  2-connectivity and 3-connectivity    
 
-   Computing the connectivity-number, the edge connectivity number, checking for  2-connectivity and 3-connectivity  
  
 
-   Hamitonicity of graphs, sufficient conditions, necessary conditions    
 
-   Hamitonicity of graphs, sufficient conditions, longs cycles in graphs, degree sequences     
 
 
 
 
 
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    Worksheets (pdf)
      
      (The current work sheet will be published here at least one week before the next practical unit.)
 
 
cela@opt.math.tu-graz.ac.at.
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Last update:
March 2024