The course covers numerical treatment of inital value problems and boundary value problems for partial differential equations, including finite element methods and finite volume methods. The focus of the course is specifically on the theoretical and computational understanding of methods based on a weak formulation for linear elliptic, parabolic, and hyperbolic partial differential equations, as well as time discretizations. The course also addresses non-linear hyperbolic partial differential equations and stabilization. The emphasis on different aspects may vary from year to year. The course includes computerlabs and projects with various applications.
SF2528 Numerical Methods for Differential Equations II 7.5 credits
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An advanced course on modern numerical methods for partial differential equations.
About course offering
For course offering
Spring 2025 Start 14 Jan 2025 programme students
Target group
Elective for all programmes as long as it can be included in your programme.
Part of programme
Master's Programme, Applied and Computational Mathematics, åk 1, COMA, Conditionally Elective
Periods
P3 (3.5 hp), P4 (4.0 hp)Duration
Pace of study
25%
Form of study
Normal Daytime
Language of instruction
English
Course location
KTH Campus
Number of places
Places are not limited
Planned modular schedule
Course memo
Course memo is not publishedSchedule
Schedule is not publishedApplication
For course offering
Spring 2025 Start 14 Jan 2025 programme students
Application code
61636
Contact
For course offering
Spring 2025 Start 14 Jan 2025 programme students
Examiner
No information insertedCourse coordinator
No information insertedTeachers
No information insertedContent and learning outcomes
Course contents
Intended learning outcomes
After completing the course, the student shall be able to:
- explain key concepts and fundamental ideas within numerical methods covered in the course, and be able to describe the advantages and limitations of the methods.
- apply and implement the numerical methods covered in the course to solve specific problems involving partial differential equations
- analyze the well-posedness of certain partial differential equations and estimate errors for the methods covered in the course
Literature and preparations
Specific prerequisites
English B / English 6
Completed basic course in numerical analysis (SF1550, SF1544, SF1545 or equivalent)
Completed basic course in differential equations (SF1692, SF1633, SF1683 or equivalent)
Recommended prerequisites
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LABA - Laboratory assignments, 2.0 credits, grading scale: P, F
- LABB - Laboratory assignments, 2.0 credits, grading scale: P, F
- TEN1 - Written exam, 3.5 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.