Course detail

# Mathematics 5 (S)

FAST-CA001Acad. year: 2018/2019

Errors in numeric calculations, solvig transcendental equations in one and several unknowns using iteration methods. Interpolation and approximation of function. Numerical differentiation and integration and their application to solving boundary value problems for ordinary differential equations. Applications given by the specialization.

Supervisor

Department

Institute of Mathematics and Descriptive Geometry (MAT)

Learning outcomes of the course unit

The students should understand the basic principles of numeric calculation, the factors that influence numeric calculation. They should be able to solve selected basic problems in numerical mathematics, understand the principle of iteration methods for solving the equation f(x)=0 and systems of linear algebraic equations mastering the calculation algorithms. They should learn how to get the basics of interpolation and approximation of functions to solve practical problems. They should be acquainted with the principles of numerical differentiation to be able to numerically solve boundary problems for ordinary differential equations. They should be able to numerically solve definite integrals.

Prerequisites

Basic notions of the theory of functions of one real variable (derivative, limit, continuos functions, elementary functions). Calculating integrals of functions of one variable, knowing about their basic applications.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations - lectures, seminars.

Assesment methods and criteria linked to learning outcomes

Successful completion of the scheduled tests and submission of solutions to problems assigned by the teacher for home work. Unless properly excused, students must attend all the workshops. The result of the semester examination is given by the sum of maximum of 70 points obtained for a written test and a maximum of 30 points from the seminar.

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

The students should understand the basic principles of numeric calculation, the factors that influence numeric calculation. They should be able to solve selected basic problems in numerical mathematics, understand the principle of iteration methods for solving the equation f(x)=0 and systems of linear algebraic equations mastering the calculation algorithms. They should learn how to get the basics of interpolation and approximation of functions to solve practical problems. They should be acquainted with the principles of numerical differentiation to be able to numerically solve boundary problems for ordinary differential equations. They should be able to numerically solve definite integrals.

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-C-SI (N) Master's
branch S , 1. year of study, winter semester, 4 credits, compulsory

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

branch S , 1. year of study, winter semester, 4 credits, compulsory - Programme N-K-C-SI (N) Master's
branch S , 1. year of study, winter semester, 4 credits, compulsory

- Programme N-P-E-SI (N) Master's
branch S , 1. year of study, winter semester, 4 credits, compulsory

- Programme N-K-C-SI (N) Master's
branch S , 1. year of study, winter semester, 4 credits, compulsory

- Programme N-P-E-SI (N) Master's
branch S , 1. year of study, winter semester, 4 credits, compulsory

branch S , 1. year of study, winter semester, 4 credits, compulsory - Programme N-K-C-SI (N) Master's
branch S , 1. year of study, winter semester, 4 credits, compulsory

#### Type of course unit

Lecture

26 hours, optionally

Teacher / Lecturer

Syllabus

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

Exercise

13 hours, compulsory

Teacher / Lecturer

Syllabus

Follows directly particular lectures.

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