Course - Numerical Integration of Time Dependent Differential Equations - MA8404
MA8404 - Numerical Integration of Time Dependent Differential Equations
About
Examination arrangement
Examination arrangement: Written examination
Grade: Passed/Failed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Skriftlig | 100/100 | 4 timer |
Course content
The course is given every second year if a sufficient number of students sign up. The course is given next time Fall 2013.
The first part of the course is devoted to general techniques for solving ordinary differential equations, like Runge-Kutta and linear multistep methods. Then modern numerical methods for special applications are discussed, for instance differential equations with conservation laws or other underlying geometric structures. The last part of the course will treat time integration of partial differential equations. Modern schemes based on splitting and exponentials will be presented and analyzed.
Learning outcome
1. Knowledge.
The first part of the course is devoted to general techniques for solving ordinary differential equations, like Runge-Kutta and linear multistep methods. Then modern numerical methods for special applications are discussed, for instance differential equations with conservation laws or other underlying geometric structures. The last part of the course will treat time integration of partial differential equations. Modern schemes based on splitting and exponentials will be presented and analyzed.
2. Skills.
The students should handle the techniques related to numerical solution of partial differential equations, in particular Runge-Kutta method and multistep method,
They should be able to study modern methods for solving time dependant differential equations and use these methods in a variety of applied and theoretical problems.
3. Competence.
The students should be able to participate in scientific discussions and conduct researches on high international level related to numerical solutions of time-dependant partial differential equations, and also participate in joint projects related to this matter.
Learning methods and activities
Lectures, alternatively guided self-study.
Course materials
Will be announced at the start of the course.
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2013
Language of instruction: -
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- Numerical Mathematics
Department with academic responsibility
Department of Mathematical Sciences
Examination
Examination arrangement: Written examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Skriftlig 100/100 2013-12-17 15:00
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Room Building Number of candidates - Spring ORD Skriftlig 100/100
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Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"