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Introduction to Scientific Computing II 

(summer 2008) 
Exam:
July 11, 13:4516:00, Hörsaal 2, MI building
Exam, Solution
Audience:
 students in Computational Science and Engineering
(CSE, compulsory course)
 students in Physik (Hauptstudium, nichtphysikalisches Wahlfach)
 students in Mathematik and Technomathematik and other scientific subjects (Wahlfach)
Time and Place:
Monday 8:1510:00, lecture room MI 02.07.023,
first lesson April 21
Tutorial: Tuesday 8:159:00, lecture room MI 02.07.023, first tutorial April 22 Contents:
This course provides a deeper knowledge in two important fields of scientific computing:
 solution of large sparse systems of linear equations:
 Gaussian elemination
 relaxation methods
 multigrid methods
 steepest descent
 conjugate gradient methods
 molecular dynamics simulations
 the physical model
 the mathematical model
 approximations and discretization
 implementational aspects
 parallelisation
 examples of nanofluidic simulations
The course is conceived for computer scientists, mathematicians, engineers, or natural scientists with already a background in the numerical treatment of (partial) differential equations.
Miriam Mehl