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Deterministic Methods

Description

The course is dedicated to the introduction of the basic concepts necessary for understanding and high performance implementation of deterministic computational algorithms in the area of scientific computing. Concepts, methods and algorithms are always first motivated by application examples from different areas (e.g., robotics/mechanics, data compression, insurance/banking). The recurrent theme of the course is built upon the concept, that all computational problems and algorithms can be described from the common optimisational perspective; also the necessary physics background is introduced. Relation is established to the concepts from partial differential equations from other courses of AMCS Master in the first semester.

 

REFERENCES

  • Shiflet and G. Shiflet: Introduction to Computational Science: Modelling and Simulation for the Sciences; Princeton University Press, 2006 
  • Numerical Methods; J. Faires; BrooksCole, 2002

People

 

Horenko I.

Course director

Kaiser O.

Course director

Igdalov D.

Assistant

Additional information

Semester
Fall
Academic year
2016-2017
ECTS
6
Education
Master of Science in Computational Science, Elective course, Lecture, 1st year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st and 2nd year (4 ECTS)