Course detail

# Mathematics 5 (K)

FAST-CA002Acad. year: 2020/2021

Numerical solutions of nonlinear equations for one and more ariables, approximations of eigenvalues and eigenvectors of symmetric matrices, iterational methods for systems of linear algebraic equations. Interpolation and approximation of functions, numerical differentiation and integration, numerical methods for the ordinary differential equations of order two, numerical modelling of the heat-flow and of beam-bending in dimension one.

Department

Institute of Mathematics and Descriptive Geometry (MAT)

Learning outcomes of the course unit

The outputs of this course are the skills and the knowledge which enable the graduates understanding of basic numerical problems and of the ideas on which the procedures for their solutions are based. In their future practice they will be able to recognize the applicability of numerical methods for the solution of technical problems and use the existing universal programming systems for the solution of basic types of numerical problems and their future improvements effectively.

Prerequisites

Elementary functions, differential calculus of functions in one variable and integral calculus of functions in one variable.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Language of instruction

Czech

Work placements

Not applicable.

Course curriculum

1. Errors in numerical calculations, approximation of the solutions of one equation in one real variable by bisection and by iteration
2. Approximation of the solutions of one equation in one real variable by iteration, the Newton method and its modifications
3. Norms of matrices and vectors, calculations of the inverse matrices
4. Solutions of systems of linear equations with speciál matrice and the condition numer of a matrix
5. Solutions of systems of linear equations by iteration
6. Solutions of systems of non—linear equations
7. Lagrange interpolation by polynomials and cubic splines, Hermite interpolation by polynomials and Hermite cubic splines
8. The discrete least squares Metod, numerical differentiation
9. Classical formulation of the boundary—value problem for the ODE of second order and its approximation by the finite diference method
10. Numerical integration. Variational formulation of the boundary—value problem for the ODE of second order
11. Discertization of the variational boundary—value problem for the ODE of second order by the finite element method
12. Classical and variational formulations of the boundary—value problem for the ODE of order four
13. Discertization of the variational boundary—value problem for the ODE of order four by the finite element method

Aims

To understand basic principles of numerical computations and learn essential factors affecting numerical calculations. Be able to solve basic elementary problems of numerical mathematics. Iteration methods for the equation f(x)= 0, finite and iterative methods for the soulution of systems of linear equations, interpolation and approximation of functions, numerical differentiation and numerical integration, numerical methods for boundary-value differential problems.

Specification of controlled education, way of implementation and compensation for absences

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

Classification of course in study plans

• Programme N-P-E-SI (N) Master's

branch K , 1. year of study, winter semester, 4 credits, compulsory

• Programme N-P-C-SI (N) Master's

branch K , 1. year of study, winter semester, 4 credits, compulsory

• Programme N-K-C-SI (N) Master's

branch K , 1. year of study, winter semester, 4 credits, compulsory

#### Type of course unit

Lecture

26 hours, optionally

Teacher / Lecturer

Exercise

13 hours, compulsory

Teacher / Lecturer