DN2230 Fast Numerical Algorithms for Large-Scale Problems 7.5 credits
This course has been discontinued.
Last planned examination: Spring 2017
Decision to discontinue this course:
No information insertedContent and learning outcomes
Course contents
Fast multipole methods (FMM)
Krylov-type iteration methods for unsymmetric and nonlinear problems
Advanced topics in multigrid methods, hierarchical matrices
Wavelet methods
Intended learning outcomes
After having completed the course the student will understand general construction principles of fast numerical algorithms for large-scale problems, their properties and areas of applications. The student should be able to select, develop, and apply such methods in practical problems.
After the course you will be able to
- analyze the specific properties relevant to the numerical solution of large-scale problems such that you can select and modify appropriately corresponding numerical methods;
- analyze and follow the relevant research literature;
- perform such computations, estimate the necesary computer resources, and judge the quality of the results; and
- develop and implement algorithms adapted to a given problem starting from general construction principles.
Literature and preparations
Specific prerequisites
Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.
Recommended prerequisites
DN2221 (Applied Numerical Methods, part 1), and DN2222 (Applied numerical methods, part 2) or equivalent.
Equipment
Literature
Course literature will be announced at least 4 weeks before course start at course web page.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- HEM1 - Exercises, 4.0 credits, grading scale: P, F
- TEN1 - Examination, 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.
In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.
Other requirements for final grade
Homework (LAB1; 3,75 cr)
Written examination (TEN1; 3,75 cr)
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.
Further information
Course room in Canvas
Offered by
Main field of study
Education cycle
Add-on studies
Please discuss with the instructor.