Teaching

Lecture "Computergestütztes Wissenschaftliche Rechnen (in German)"
Wednesday 9:15-10:45
Hörsaal H4, A.K. Hartmann
(mandatory lecture for 4th semester)
Content: Iteration, Differential Equations, Random Numbers, Algorithms, Data Structures, Molecular Dynamics, Percolation, Monte Carlo, Data Analysis, Simple Graph Algorithms, Overview Optimization Algorithms

Lectures (in German):

• Lecture 1 (14. April): Introduction, Literature, Population Dynamics
  Data file: sg_e0_L.dat, Programs: population0.c, population.c
• Lecture 2 (21. April): Differential Equations, Numerical Recipes
  Programs: pendlum_euler.c, pendlum_rk.c
• Lecture 3 (28. April): Numerical Accuracy, Random Numbers I
  Program: linear_congurential.c
• Lecture 4 (5. May): Random Numbers II
  Programs: exponential.c, reject.c
• Lecture 5 (12. May): Algorithms I
  Programs: factorial.c, mergesort.c
• Lecture 6 (19. May): Algorithms II
  Programs: fib_rekursiv.c, fibonacci.c, queens.c, memory.c
• Lecture 7 (26. May): Molecular Dynamics I
  Program: md.c
• Lecture 8 (2. June): Molecular Dynamics II
  Program: md.c
• Lecture 9 (9. June): Event-driven Simulations (simple implementation)
  Program: chain.c
• Lecture 10 (16. June): Event-driven Simulations II (heaps), Monte Carlo I
  Programs: chain_heap.c, surface_1d.c
• Lecture 11 (23. June): Monte Carlo II
  Program: surface_1d.c
• Lecture 12 (30. June): Monte Carlo III, Data analysis I
  Program: surface_1d.c
• Lecture 13 (7. July): Data Analysis Ib, Percolation I
  Data files: roughL10.dat, roughL20.dat, roughL50.dat, roughL100.dat, roughL200.dat, roughL500.dat
  Programs: stacks.h, stacks.c
• Lecture 14 (14. July): Percolation II, Data Analysis II
  Program: percolation.c

Exercises by Prof. Dr. Thomas Pruschke
Monday 14-16 and Friday 9-11, Cip-Pool (room C00.106)

Read the Schwerpunkt Computersimulationen (in German, Physik Journal 5/2004).