Numerical Methods in Scientific Computing

 Course page for the course in 2012

General motivation

This course introduces the most important ideas and techniques of modern numerical methods in Scientific Computing, which cover both discretization for ordinary and partial differential equations and solution methods for the so-arising linear and non-linear systems of algebraic equations.

The course modules are devoted to analysis and implementation issues related to problems originating from various practical applications. Following those modules, the participants will obtain a global view of the numerous existing methods and techniques. This knowledge will in turn act as a guideline when choosing the most appropriate techniques in real-life situations.

Aims

• To broaden the knowledge and provide the necessary understanding of various discretization and numerical solution methods, used for problems in Scientific Computing.
• To discuss basis analysis related to stability, error estimates and computer implementation issues, and their relevance when choosing the latter methods for a particular application problem.

Dates, places and course pages

This course is given in collaboration between UPPMAX, Uppsala and HPC2N, Umeå.
Information about travel and housing will be given when you register for the course.
The course will be given next time in January-February 2011

• Week 3: Preparatory studies:
  
• Week 4: Lectures in Uppsala
  
• Week 5: Project work at home
• Week 6: Lectures in Umeå
  
• Week 7: Project work at home