Numerical Methods for Partial Differential Equations

last update: 2021-10-03

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Lecture      up

Numerical Methods for Partial Differential Equations - Lectures

(CourseId 327.320, 4 hours per week, Semester 5)

Lecturer: O.Univ.-Prof. Dr. Ulrich Langer

Time and room:

Wed, Oct 4, 200608:30 - 10:00 Room: HF 9901Lecture 1
Thu, Oct 5, 200608:30 - 10:00 Room: HS 13Lecture 2
Mon, Oct 9, 200610:15 - 11:45 Room: T 041Lecture 3
Wed, Oct 11, 200608:30 - 10:00 Room: HF 9901Lecture 4
Thu, Oct 12, 200608:30 - 10:00 Room: HS 13Lecture 5
Wed, Oct 18, 200608:30 - 10:00 Room: HF 9901Lecture 6
Thu, Oct 19, 200608:30 - 10:00 Room: HS 13Lecture 7
Wed, Oct 25, 200608:30 - 10:00 Room: HF 9901Lecture 8
Thu, Oct 26, 2006national holidayLecture is cancelled
Mon, Oct 30, 200610:15 - 11:45 Room: T 041Lecture 9
Wed, Nov 1, 2006Allerheiligen (religious holiday)Lecture is cancelled
Thu, Nov 2, 2006Allerseelen (religious holiday)Lecture is cancelled
Wed, Nov 8, 200608:30 - 10:00 Room: K 034DLecture 10
Thu, Nov 9, 200608:30 - 10:00 Room: HS 13Lecture 11
Wed, Nov 15, 200608:30 - 10:00 Room: K 034DLecture 12
Thu, Nov 16, 200608:30 - 10:00 Room: HS 13Lecture 13
Wed, Nov 22, 200608:30 - 10:00 Room: K 034DLecture 14
Thu, Nov 23, 200608:30 - 10:00 Room: HS 13Lecture 15
Mon, Nov 27, 200613:45 - 15:15 Room: P 004Lecture 16
Wed, Nov 29, 200608:30 - 10:00 Room: K 034DLecture 17
Wed, Dec 6, 200608:30 - 10:00 Room: K 034DLecture 18
Thu, Dec 7, 200608:30 - 10:00 Room: HS 13Lecture 19
Mon, Dec 11, 200613:45 - 15:15 Room: P 004Lecture 20
Wed, Dec 13, 200608:30 - 10:00 Room: K 034DLecture 21
Wed, Jan 10, 200708:30 - 10:00 Room: K 034DLecture 22
Thu, Jan 11, 200708:30 - 10:00 Room: HS 13Lecture 23
Wed, Jan 17, 200708:30 - 10:00 Room: K 034DLecture 24
Thu, Jan 18, 200708:30 - 10:00 Room: HS 13Lecture 25
Wed, Jan 24, 200708:30 - 10:00 Room: K 034DLecture 26
Thu, Jan 25, 200708:30 - 10:00 Room: HS 13Lecture 27
Wed, Jan 31, 200708:30 - 10:00 Room: K 034DLecture 28

Lecturer: O.Univ.-Prof. Dr. Ulrich Langer



Tutorial      up

Numerical Methods for Partial Differential Equations - Tutorials

(CourseId 327.321, 2 hours per week, Semester 6)

Tutorials held by: Dr. Marco Discacciati

Time and room:

Mon, Oct 16, 200610:15 - 11:45 Room: T 041Tutorial 01
Mon, Oct 23, 200610:15 - 11:45 Room: T 041Tutorial 02
Mon, Nov 6, 200613:45 - 15:15 Room: P 004Tutorial 03
Mon, Nov 13, 200613:45 - 15:15 Room: P 004Tutorial 04
Mon, Nov 20, 200613:45 - 15:15 Room: P 004Tutorial 05
Thu, Nov 30, 200608:30 - 10:00 Room: HS 13Tutorial 06
Mon, Dec 4, 200613:45 - 15:15 Room: P 004Tutorial 07
Thu, Dec 14, 200608:30 - 10:00 Room: HS 13Tutorial 08
Mon, Jan 8, 200713:45 - 15:15 Room: P 004Tutorial 9
Mon, Jan 15, 200713:45 - 15:15 Room: P 004Consultation
Mon, Jan 22, 200713:45 - 15:15 Room: P 004Tutorial 10
Mon, Jan 29, 200713:45 - 15:15 Room: P 004Tutorial 11

Exercises      up
Exercise 1October 16, 2006pdf
Exercise 2October 23, 2006pdfsolution(pdf)
Exercise 3November 6, 2006pdf
Exercise 4November 13, 2006pdf
Exercise 5November 20, 2006pdf
Exercise 6November 30, 2006pdf
Exercise 7December 4, 2006pdf
Exercise 8December 14, 2006pdftex-file
Exercise 9January 8, 2007pdf
Exercise 10January 22, 2007pdf
Exercise 11January 29, 2007pdf
Exercise 1-2,8tex-fileszip

Transparencies      up
Transparency 1: colourGalerkin-Ritz
Transparency 2: colourAssembling Algorithm
Transparency 3: colour1.4.4. FEM for PDEs
Transparency 4: b/w Symm. case: Th. 1.26
Transparency 5: b/w Symm. case: R. 1.27
Transparency 6: b/w Remark 1.28
Transparency 7: colourExample 1.34
Transparency 8: b/w Alg. 1.38: PCG
Transparency 9: b/w 1.6. - 1.8.
Transparency 10: b/w Lemma 2.5.
Transparency 11: b/w Lemma 2.6.
Transparency 12: b/w Existence
Transparency 13: b/w Theorem 2.7
Transparency 14: b/w Discr. Error I
Transparency 15: b/w Discr. Error II (Th. 2.10)
Transparency 16: b/w Discr. Error III
Transparency 17: colourexRKF: Consistency
Transparency 18: colourExample 2.15
Transparency 19: b/w Example 2.16
Transparency 20: colourRemark 2.17
Transparency 21: colourRemark 2.17 (cont.)
Transparency 22: colourRemark 2.19
Transparency 23: colourExample 2.20
Transparency 24: b/w 2.3.7. Stability Analysis I
Transparency 25: b/w 2.3.7. Stability Analysis II
Transparency 26: colour2.3.7. Stability Analysis III
Transparency 27: colour2.3.7. Stability Analysis IV
Transparency 28: colour2.4. Full Discretization
Transparency 29: b/w 3.1. Hyperbolic PDE I
Transparency 30: colour3.1. Hyperbolic PDE II
Transparency 31: colour3.1. Hyperbolic PDE III
Transparency 32: colour3.1. Hyperbolic PDE IV
Transparency 33: colour3.2. RKM I
Transparency 34: colour3.2. RKM II

Basic Lecture Notes:      up
[1]   Zulehner W.: Numerical Methods for Partial Differential Equations, JKU, Linz, Winter Semester 2005/06.
PDF-File
[2]   Langer U.: Numerik I (Operatorgleichungen), JKU, Linz 1996 (Sobolev-Spaces and Tools).
Postscript-File
[3]   Langer U.: Numerik II (Numerische Verfahren für Randwertaufgaben), JKU, Linz 1996 (FEM and FVM).
Postscript-File
[4]   Jung M., Langer U.: Methode der finiten Elemente für Ingenieure. Teubner-Verlag, Stuttgart, Leipzig, Wiesbaden 2001 (practical aspects of the FEM).
Methode der Finiten Elemente für Ingenieure
[5]   Steinbach O.: Lösungsverfahren für lineare Gleichungssysteme: Algorithmen und Anwendungen. Teubner-Verlag, Stuttgart, Leipzig, Wiesbaden 2005 (solvers for systems of algebraic equations).

Additional Literature:      up
[1]   Braess D.: Finite Elemente. Springer Lehrbuch, Berlin, Heidelberg 1997.
[2]   Großmann C., Roos H.-G.: Numerik partieller Differentialgleichungen. Teubner-Verlag, Stuttgart 1992.
[3]   Heinrich B.: Finite Difference Methods on Irregular Networks. Akademie-Verlag, Berlin 1987.
[4]   Knaber P., Angermann L.: Numerik partieller Differentialgleichungen. Eine anwendungsorientierte Einführung. Springer-Verlag, Berlin-Heidelberg 2000.
[5]   Monk P.: Finite Element Methods for Maxwell's Equations. Oxford Science Publications, Oxford 2003.
[6]   Schwarz H.R.: FORTRAN-Programme zur Methode der finiten Elemente. B.G. Teubner, Stuttgart, 1991.
[7]   Schwarz H.R.: Methode der finiten Elemente. B.G. Teubner, Stuttgart, 1991.
[8]   Verfürth R.: A Review of A Posteriori Error Estimation and Adaptive Mesh-Refinement Techniques. Wiley - Teubner, 1996.


Software:      up
FEM1D


Links:      up


General Information      up
Previous Knowledge:
Is required for:
Objective:
Get knowledge of analysis tools and for the numerical methods for the solution of partial differential equations (PDEs.)

Contents:
Numerical Methods for Additional Information:
Examinations:
Lecture:
The lecture contains an oral examination.

Tutorial:
The mark of the tutorial consists of the assessment of the individual exercises, the presentations on the blackboard and a practical exercise.