Numerical Analysis II
Table of Contents
General Information
| Lecturer: | Prof. Habib Ammari | Coordinator: | Konstantinos Alexopoulos | ||
| First lecture: | Mon. 21.02.2021 | First Exercise Class: | Thu. 24.02.2022 |
Remote Teaching Arrangements
The course will be held remotely in Zoom under the following arrangements.
Prof. Ammari will inform the students of the URL of the meeting in Zoom. He will also record his lectures for students to view in their own time. Links to these recordings, as well as the lecture notes and the slides from the lectures, can be found below.
Exercise classes will be done mainly in person. Your tutor will contact you with details. We strongly encourage you to take part in these classes, as they will be the most effective way to have any questions answered.
Assignments will be published each week. You should submit all your solutions using the SAM Upload Tool, including scans or photos of any handwritten solutions. Students are strongly enocuraged to complete the assignments, particularly since the Python programming skills they develop will form a large part of the final exam.
As last year, bonus points can be earnt by completing the "Mid-term summary assignment" and "End-term summary assignment". These replace the mid-tem and end-term tests of previous years. See below for details.
Prof. Habib Ammari's Lecture Recordings in 2021
Here, you can find the recordings of Prof. Ammari's lectures. The titles correspond to the slides, given below.
22 February 2021: Lecture 1, part i: Some basics
26 February 2021: Lecture 1, part ii: Some basics
1 March 2021: Lecture 2: Existence, uniqueness, and regularity in the Lipschitz case
5 March 2021: Lecture 3, part i: Linear systems
8 March 2021: Lecture 3, part ii: Linear systems
12 March 2021: Lecture 4, part i: Numerical solution of ordinary differential equations
15 March 2021: Lecture 4, part ii: Numerical solution of ordinary differential equations
19 March 2021: Lecture 4, part iii: Numerical solution of ordinary differential equations
22 March 2021: Lecture 4, parti iv: Numerical solution of ordinary differential equations
26 March 2021: Lecture 4, part v: Numerical solution of ordinary differential equations
29 March 2021: Lecture 4, part vi: Numerical solution of ordinary differential equations
16 April 2021: Lecture 5, part i: Geometrical numerical integration methods for differential equations
23 April 2021: Lecture 5, part ii: Geometrical numerical integration methods for differential equations
26 April 2021: Lecture 5, part iii: Geometrical numerical integration methods for differential equations
30 April 2021: Lecture 5, part iv: Geometrical numerical integration methods for differential equations
3 May 2021: Lecture 5, part v: Geometrical numerical integration methods for differential equations
10 May 2021: Lecture 6, part ii: Finite difference methods
14 May 2021: Lecture 6, part iii: Finite difference methods
17 May 2021: Lecture 6, part iv: Finite difference method
Lecture Notes
Here, you can find the lecture notes:
Here are the slides used in the lectures:
Assignments
There will be weekly homework assignments available for download from the course web page each Wednesday afternoon. Homework will include theoretical problems and programming problems, which are to be prepared using Python 3 (available at the student computer pools at ETH).
All solutions (both codes and scans or photos of written solutions) should be submitted using the SAM Upload Tool. Since we are not using a server for permanent storage, everything on the server might disappear after several weeks so please don't rely on it for storing files. Instructions on how to use the upload tool can be found in the User Guide.
The deadline for the subimssion of the assignments is at the beginning of the tutorial session of each group the week after the assignment has been given out, i.e. one week later.
Programming problems
Here is a Python cheat sheet, it contains instructions on how to install Python 3 and gives some useful commands. We also recommend these scipy lecture notes and Python for Scientists by John Stewart (available as a pdf on the ETH network) as other resources for learning Python.
Testate condition
As testate conditions are not in place anymore, it is not compulsory to hand in the assignments for correction. It is, however, recommended to submit the assignments as this will develop your understanding of the material and help you be better prepared for the exams.
Assignments
You can download the assignments (with templates) and solutions here:
| Problem Set | Templates | Published on | Submit by | Solutions |
|---|
Exercise Groups
All registered students will receive an email with the registration link (for MyStudies) to exercise groups before the starting of the first exercise class (24th February).
| Group | Time | Classroom | Tutor |
|---|---|---|---|
| 1 | Thu. 10:00-12:00 | Zoom(Meeting ID: 933 1317 3040, Password: NM2FS22KS) | K.Shakhnovich |
| 2 | Thu. 10:00-12:00 | HG G 26.3 | V. Bosselmann |
| 3 | Thu. 10:00-12:00 | LFW B 3 | A. Salib |
| 4 | Thu. 10:00-12:00 | CHN D.46 | L. Machado Poletti Valle |
| 5 | Thu. 14:00-16:00 | HG F 26.5 | A. Renggli |
| 6 | Thu. 14:00-16:00 | ML H 34.3 | N. Chen |
Summary Assignments
Students will have the opportunity to earn bonus points by completing the "Mid-term summary assignment" and "End-term summary assignment". These will be two additional assignments consisting of simple and routine problems. Completing these assignments is not compulsory but doing so to a good standard will earn a student bonus points. Suppose a student gets x points (out of 60 points) in the mid-term summary assignment and y points (out of 60 points) in the end-term summary assignment, then they will get 0.25 bonus points added to their final grade if x+y > 80.
No programming problems will be involved in the mid-term and end-term summary assignments. The problems will focus on the important definitions and theorems from the course, with some examples.
The mid-term summary assignment will take place on 11th, April (Monday) and the end-term summary assignment will take place on 30th, May (Monday). In both cases, the assignments will be published here at 9am (Zurich time) and students will need to submit solutions via the SAM Upload Tool within 24 hours (i.e. by 9am on Tuesday). You will need to take photos or scans of your handwritten solutions. You can either fill in the white boxes or use your own paper. The assignments are designed to take around an hour to complete and will be similar to the mid-term and end-term tests of previous years (see below).
Exam
The final exam will be a (computer-aided) written exam. Programming with Python will be involved. Spyder will be available as the default editor. The lecture notes (in the form of the pdf, as given above) will be available during the exam.
Previous Exams
| Exam | Templates |
|---|---|
| Winter 2014 | Not available |
| Summer 2014 | Summer 2014 |
| Winter 2015 | Winter 2015 |
| Summer 2015 | Summer 2015 |
| Winter 2016 | Not available |
| Summer 2016 | Summer 2016 |
| Winter 2017 | Winter 2017 |
| Summer 2017 | Summer 2017 |
| Winter 2018 | Winter 2018 |
| Summer 2018 | Summer 2018 |
| Winter 2019 | Not available |
| Summer 2019 | Summer 2019 |
| Winter 2020 | Winter 2020 |
| Summer 2020 | Summer 2020 |
| Winter 2021 | Winter 2021 |
| Summer 2021 | Summer 2021 |
| Summer 2022 | Summer 2022 |
Prof. Habib Ammari's Lecture Recordings in 2020
Here, you can find the previous recordings of Prof. Ammari's lectures. The titles correspond to the slides, see above.
16 March 2020: Lecture 4, slides 1-17: explicit one-step method
20 March 2020: Lecture 4, slides 18-21: explicit Euler scheme
23 March 2020: Lecture 4, slides 22-39: high-order methods
27 March 2020: Lecture 4, slides 40-46: linear systems
30 March 2020: Lecture 4, slides 47-64: Runge-Kutta methods
3 April 2020: Lecture 4, slides 65-83: Runge-Kutta methods as collocation methods
6 April 2020: Lecture 4, slides 84-103: multistep methods
4 May 2020: Lecture 5, slides 1-24: geometrical numerical integration methods
11 May 2020: Lecture 5, slides 25-48: geometrical numerical integration methods
18 May 2020: Lecture 5, slides 49-78: geometrical numerical integration methods
Literature
Note: Extra reading is not considered important for understanding the course subjects.
- Deuflhard and Bornemann: Numerische Mathematik II - Integration gewohnlicher Differentialgleichungen, Walter de Gruyter & Co., 1994.
- Hairer and Wanner: Solving ordinary differential equations II - Stiff and differential-algebraic problems, Springer-Verlag, 1996.
- Hairer, Lubich and Wanner: Geometric numerical integration - Structure-preserving algorithms for ordinary differential equations}, Springer-Verlag, Berlin, 2002.
- L. Gruene, O. Junge "Gewoehnliche Differentialgleichungen", Vieweg+Teubner, 2009.
- Hairer, Norsett and Wanner: Solving ordinary differential equations I - Nonstiff problems, Springer-Verlag, Berlin, 1993.
- Walter: Gewöhnliche Differentialgleichungen - Eine Einuhrung, Springer-Verlag, Berlin, 1972.
- Walter: Ordinary differential equations, Springer-Verlag, New York, 1998.