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## ECM3739 - Computational Nonlinear Dynamics (2015)

MODULE TITLE | Computational Nonlinear Dynamics | CREDIT VALUE | 15 |
---|---|---|---|

MODULE CODE | ECM3739 | MODULE CONVENER | Prof Jan Sieber (Coordinator) |

DURATION: TERM | 1 | 2 | 3 |
---|---|---|---|

DURATION: WEEKS | 11 |

Number of Students Taking Module (anticipated) | 14 |
---|

Most mathematical problems in engineering and science lead to systems of nonlinear equations that cannot be solved with pencil and paper, and where a numerical approach does not give a complete answer. In this module you will use theory and mathematical methods from Stages 1 and 2 (calculus, dynamics, differential equations, numerics and scientific computing) to solve realistic problems as they occur in nonlinear dynamics in engineering and science.

You will gradually assemble a toolbox of small programs (in MATLAB) and then use these programs to study nonlinear dynamical systems with complicated behaviour (for example, chaos). In the end you will have solved some fairly complex problems from scratch, using tools developed and written by yourself during the module. For example, you will have proved (or, at least given robust numerical evidence for) chaos in the forced pendulum. Half of the contact time will be supervised lab sessions during which you will get support to get started on the problems.

Pre-requisites: ECM1709 and ECM2702

You will learn to combine your previously acquired knowledge from Stages 1 and 2 (specifically in the theory of differential equations and modelling), and you programming skills to solve nonlinear problems as they occur in real-world applications, for example, in mechanics, lasers, climate, ecology, chemistry, biology, or electronic circuity.

The problems will all come from applications encountered in academic research (e.g., lasers, mechanical systems, population dynamics, fluid dynamics). The module does NOT intend to teach you how to use particular state-of-the-art research tools (such as AUTO), but will rather guide you to develop idealized versions of these tools from scratch. The module will give you the opportunity to solve problems that are beyond the reach of exam-based assessment but short of individual research projects.

On successful completion of this module ** you should be able to**:

**Module Specific Skills and Knowledge**

2. apply mathematical and computational methods previously learned to study dynamical systems from applications

**Discipline Specific Skills and Knowledge**

**Personal and Key Transferable / Employment Skills and Knowledge**

5. develop a project independently and with appropriate time management.

- Implicit function theorem and Newton iteration in arbitrary dimensions
- Numerical differentiation and numerical solution of initial-value problems of ODEs in arbitrary dimensions
- Solution of parameter-dependent nonlinear problems
- Computation and visualisation of phase portraits and their structural stability
- Finding and tracking singularities (bifurcations: saddle-node and Hopf bifurcations)
- [*] Regularity and discretisation of ODE boundary-value problems
- [*] Tracking of periodic orbits, starting from a Hopf bifurcation, and some of their bifurcations
- [*] computation of basins of attraction for equilibria of autonomous systems or periodic points of periodically forced systems
- [*] Lyapunov exponents, stable and unstable manifolds of periodic points and detection of their homoclinic tangles in periodically forced systems

[*] only a selection of these topics will be covered, varying each year

Scheduled Learning & Teaching Activities | 33.00 | Guided Independent Study | 117.00 | Placement / Study Abroad | 0.00 |
---|

Category | Hours of study time | Description |

Scheduled learning and teaching activity | 18 | Lectures |

Scheduled learning and teaching activity | 15 | Computer lab sessions for work on problems |

Guided independent study | 87 | Independent work on problems |

Guided independent study | 30 | Study of notes and wider reading |

Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
---|---|---|---|

n/a (but see feedback for summative assessment) | |||

Coursework | 100 | Written Exams | 0 | Practical Exams | 0 |
---|

Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
---|---|---|---|---|

Coursework 1 | 35 | 300 lines of code, 500 words documentation (including graphs etc) | All | Ongoing during lab sessions, written after marking |

Coursework 2 | 65 | 600 lines of code, 1000 words documentation (including graphs etc) | All | Ongoing during lab sessions, written after marking |

Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
---|---|---|---|

Coursework 1 | Coursework | All | Ref/Def Period |

Coursework 2 | Coursework | All | Ref/Def Period |

All referred/deferred assessments will normally be by assignment

information that you are expected to consult. Further guidance will be provided by the Module Convener

**Basic reading:**

**ELE: http://vle.exeter.ac.uk/**

**Web based and Electronic Resources:**

http://www.dynamicalsystems.org/tu/cm/

**Other Resources:**

Reading list for this module:

Type | Author | Title | Edition | Publisher | Year | ISBN | Search |
---|---|---|---|---|---|---|---|

Set | Kelley CT | Solving Nonlinear Equations with Newtons Method | SIAM | 0-89871-546-6 | [Library] | ||

Set | Allgower EL and Georg K | Introduction to Numerical Continuation Methods | Springer | 089871544X | [Library] | ||

Set | Kuznetsov Y | Elements of Applied Bifurcation Theory | Springer | 978-0-387-21906-6 | [Library] |

CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
---|---|---|---|

PRE-REQUISITE MODULES | ECM2702, ECM1709 |
---|---|

CO-REQUISITE MODULES |

NQF LEVEL (FHEQ) | 6 | AVAILABLE AS DISTANCE LEARNING | No |
---|---|---|---|

ORIGIN DATE | Friday 09 January 2015 | LAST REVISION DATE | Monday 12 January 2015 |

KEY WORDS SEARCH | None Defined |
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