Course detail

Numerical methods for the variational problems

FAST-DA66Acad. year: 2024/2025

1. Introduction to the variatoinal calculus: Examples of functionals, the simplest problem of variational calculus, Euler equation of a functional.
2. Differential problems: Classical and variational formulations of boundary-value differential problems. Discretization of stationary differential problems by the finite-difference, Galerkin Ritz methods. Standard time-discretizations of non-stationary differential problems.
3. Formulation and numerical solution of the heat-conduction problem, the linear elasticity problem, of the linear flow problems, of the Navier-Stokes equations and of selected models of simultaneous moisture and heat distribution in porous media.

Language of instruction

Czech

Number of ECTS credits

10

Mode of study

Not applicable.

Guarantor

prof. Ing. Jiří Vala, CSc.

Department

Institute of Mathematics and Descriptive Geometry (MAT)

Entry knowledge

Basic notions of linear algebra and mathematical analysis, elementary methods for exact solutions of differential equations, methods for approximate solutions of systems of linear and non-linear equations, interpolation and approximation of functions, numerical differentiation and numerical integration.

Rules for evaluation and completion of the course

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Aims

Basics of calculus of variations, numerical methods for variationally formulated differential boundary-value problems. The studied boudary-value problems are mathematical models of processes often occuring in the practice of civil engineers.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

BLAHETA R. Matematické modelování a metoda konečných prvků. ZČU v Plzni 2012. (CS)
BOUCHALA J.: Variační metody. VŠB-TU Ostrava 2012. (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme D-K-C-SI (N) Doctoral

    branch VHS , 2 year of study, winter semester, compulsory-optional
    branch MGS , 2 year of study, winter semester, compulsory-optional
    branch PST , 2 year of study, winter semester, compulsory-optional
    branch FMI , 2 year of study, winter semester, compulsory-optional
    branch KDS , 2 year of study, winter semester, compulsory-optional

  • Programme D-K-C-GK Doctoral

    branch GAK , 2 year of study, winter semester, compulsory-optional

  • Programme D-K-E-CE (N) Doctoral

    branch FMI , 2 year of study, winter semester, compulsory-optional
    branch KDS , 2 year of study, winter semester, compulsory-optional
    branch MGS , 2 year of study, winter semester, compulsory-optional
    branch VHS , 2 year of study, winter semester, compulsory-optional
    branch PST , 2 year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

prof. Ing. Jiří Vala, CSc.

Syllabus

1. Functional and its Euler equation, the simlest problem ov calculus of variations. 2. Concrete examples of functionals and related Euler equations. Elementary solutions. 3. Derivation of an elliptic problem for ODE of degree 2, the problems of heat conduction and distribution of polution. 4. Discretization of the elliptic problem for ODE of degree 2 by the standard finite difference method, stability of numerical solutions. 5. Variational (weak) and minimization formulation of the elliptic problem for the elliptic problem for ODE of degree 2. 6. The Ritz and Galerkin methods. 7. Discretization of the elliptic problem for ODE of degree 2 by the finite element method. 8. Discretization of the variational formulation of the elliptic problem for ODE of degree 2 by the finite element method. 9. Discretization of the minimization formulation of the elliptic problem for ODE of degree 2 by the finite element method. 10. Discretization of the variational formulation of the elliptic problem for PDE of degree 2 by the finite element method. 11. Variational formulation and the finite element method for the linear elasticity problem. 12. Navier-Stokes equations and their numerical solution by the particle method. 13. A mathematical model of simultaneous distribution of moisture and heat in porous materials, discretizations.