Geometric Numerical Integration 1
Module MA5341
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Basic Information
MA5341 is a semester module in English language at Master’s level which is offered irregular.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
Total workload | Contact hours | Credits (ECTS) |
---|---|---|
150 h | 45 h | 5 CP |
Content, Learning Outcome and Preconditions
Content
In this course, we will cover basic techniques of structurepreserving or geometric numerical integration for ordinary differential equations.
1. Lagrangian and Hamiltonian Dynamics
2. Symplectic Integrators
3. Backward Error Analysis
4. Volume-Preserving Methods
5. Variational Integrators
6. Energy-Preserving Methods
1. Lagrangian and Hamiltonian Dynamics
2. Symplectic Integrators
3. Backward Error Analysis
4. Volume-Preserving Methods
5. Variational Integrators
6. Energy-Preserving Methods
Learning Outcome
After successful completion of the module, students are able to recognize various geometric structures present in many ordinary differential equations. They have an overview of state-of-the-art numerical integration methods which preserve these structures and are able to select and implement suitable methods depending on the equations at hand and the desired conservation properties. Participating students are able to proof the conservation properties of the presented methods, either by direct computation, the discrete Noether theorem, or backward error analysis.
Preconditions
Linear Algebra and Discrete Structures 1 (MA1101)
Ordinary Differential Equations (MA2005)
Numerics of Ordinary Differential Equations (MA2304)
Ordinary Differential Equations (MA2005)
Numerics of Ordinary Differential Equations (MA2304)
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
Type | SWS | Title | Lecturer(s) | Dates | Links |
---|---|---|---|---|---|
VO | 2 | Geometric Numerical Integration 1 [MA5339] | Kraus, M. | ||
UE | 1 | Geometric Numerical Integration (Exercise Session) [MA5341] | Kraus, M. |
Learning and Teaching Methods
Lectures + Exercises
The module is offered as lectures with accompanying practice sessions. In the lectures, the contents will be presented in a talk with demonstrative examples, as well as through discussion with the students. The lectures should motivate the students to carry out their own analysis of the themes presented and to independently study the relevant literature. Corresponding to each lecture, practice sessions will be offered, in which exercise sheets and solutions will be available. In this way, students can deepen their understanding of the methods and concepts taught in the lectures and independently check their progress.
The module is offered as lectures with accompanying practice sessions. In the lectures, the contents will be presented in a talk with demonstrative examples, as well as through discussion with the students. The lectures should motivate the students to carry out their own analysis of the themes presented and to independently study the relevant literature. Corresponding to each lecture, practice sessions will be offered, in which exercise sheets and solutions will be available. In this way, students can deepen their understanding of the methods and concepts taught in the lectures and independently check their progress.
Media
chalk board
Literature
- Ernst Hairer, Christian Lubich and Gerhard Wanner. Geometric Numerical Integration. Springer, 2006.
- Benedict Leimkuhler, Sebastian Reich. Simulating Hamiltonian Dynamics. Cambridge University Press, 2005.
- Jerrold E. Marsden and Matthew West. Discrete Mechanics and Variational Integrators. Acta Numerica 10, 2001.
- Benedict Leimkuhler, Sebastian Reich. Simulating Hamiltonian Dynamics. Cambridge University Press, 2005.
- Jerrold E. Marsden and Matthew West. Discrete Mechanics and Variational Integrators. Acta Numerica 10, 2001.
Module Exam
Description of exams and course work
Requirement for the successful completion of the module is to pass an oral exam. In the exam, students show their knowledge of important geometric structures of ordinary differential equations and appropriate numerical methods, which preserve these structures. They show the ability to analyse and prove the conservation properties of geometric numerical integrators as well as the ability to apply such integrators to problems from scientific computing.
Exam Repetition
The exam may be repeated at the end of the semester.