SubjectsSubjects(version: 965)
Course, academic year 2019/2020
  
Advanced Methods of Applied Mathematics - AP413009
Title: Advanced Methods of Applied Mathematics
Guaranteed by: Department of Mathematics (413)
Faculty: Faculty of Chemical Engineering
Actual: from 2019 to 2020
Semester: both
Points: 0
E-Credits: 0
Examination process:
Hours per week, examination: 3/0, other [HT]
Capacity: winter:unknown / unknown (unknown)
summer:unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Level:  
Note: course is intended for doctoral students only
can be fulfilled in the future
you can enroll for the course in winter and in summer semester
Guarantor: Janovská Drahoslava prof. RNDr. CSc.
Červená Lenka RNDr. Ph.D.
Classification: Mathematics > Mathematics General
Interchangeability : P413009
Examination dates   Schedule   
Annotation -
The aim of the course is to supplement the students' knowledge especially in the field of functional analysis in order to understand the mathematical fundamentals of the finite element method. The finite element method is an advanced numerical method that allows continuous approximation of solutions of partial differential equations.
Last update: Pátková Vlasta (16.11.2018)
Course completion requirements -

Presentation of the solution of three particular problems and discussion on the existence and uniqueness of the solution. Oral exam.

Last update: Pátková Vlasta (16.11.2018)
Literature -

D. Braess: Finite Elements, Cambridge University Press, 1997.

S. C. Brenner, L. R. Scott: The Mathematical Theory of Finite Elements, Texts in Applied Mathematics, Vol. 15, Springer, New York, 1994.

W. Hundsdorfer, J. Verwer: Numerical solution of Time-Dependent Advection-Diffusion-Reaction Equations, Springer-Verlag, Berlin, Heidelberg, 2003.

V. N. Kaliakin: Introduction to Approximate Solution Techniques, Numerical Modeling,and Finite Element Methods, Marcel Dekker, Inc., New York, Basel, 2002.

P. Wesseling: An Introduction to Multigrid Methods, John Wiley & Sons, 1992.

Last update: Jahoda Milan (29.11.2018)
Teaching methods -

Lectures and seminar.

Last update: Pátková Vlasta (16.11.2018)
Syllabus -

1. Method of weighted residua.

2. Finite Element Method - Introduction.

3. Necessary minimum of functional analysis.

4. Sobolev's spaces.

5. Variational formulation of boundary value problems.

6. A simple one-dimensional boundary value problem.

7. Formulation on elements.

8. Global stiffness matrix.

9. Selected methods of numerical linear algebra.

10. Variational formulation of two and three-dimensional boundary value problems.

11. Numerical implementation.

12. Different types of elements.

13. FEM for three-dimensional problems.

14. Numerical methods for solving systems of linear algebraic equations.

Last update: Pátková Vlasta (16.11.2018)
Learning resources - Czech

http://old.vscht.cz/mat/Info.html

Last update: Pátková Vlasta (16.11.2018)
Learning outcomes -

Students will learn the basics of functional analysis needed to understand finite element method. They learn to compile the variation formulation of the problem, create a discrete formula, calculate the stiffness matrix, and the right side vector. Within the seminar, each student develops three specific tasks, including a discussion of the existence and uniqueness of the solution.

Last update: Pátková Vlasta (16.11.2018)
Entry requirements -

Mathematics, to the same extent as Mathematics A, B.

Last update: Pátková Vlasta (16.11.2018)
Registration requirements -

none

Last update: Borská Lucie (16.09.2019)
 
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