Course: Numerical Methods

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Course title Numerical Methods
Course code KMA/PNUM
Organizational form of instruction Lecture
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Černá Dana, doc. RNDr. Ph.D.
Course content
Lectures: 1. Basic concepts - numerical methods, types of errors, conditioning of the problem, algorithm complexity. 2. Numerical linear algebra - vector and matrix norms, conditioning of matrices, Gaussian elimination - complexity, stability, pivotation, tridiagonal matrices. 3. LU decomposition - complexity, stability, pivotating. Cholesky decomposition. 4. Numerical solution of nonlinear equations - bisection method, Newton's method. 5. Numerical solution of nonlinear equations - secant method, the Babylonian method. 6. Lagrange interpolation - Lagrange and Newton form, error estimate. 7. Hermite interpolation - Newton form, error estimate. Spline interpolation. 8. Function approximation by the method of least squares, system of normal equations. 9. Numerical integration - the rectangular rule, the trapezoidal rule, Simpson's rule. 10. Numerical differentiation - differences, error estimates. 11. Numerical solution of initial value problems - basic concepts, transforming the n-th order differential equation into a system of n simultaneous equations of the first order. 12. Euler method for initial value problems. 13. Revision - solving problems by numerical methods. 14. Test.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing)
  • Class attendance - 56 hours per semester
  • Preparation for credit - 15 hours per semester
  • Semestral paper - 20 hours per semester
Learning outcomes
Construction of the mathematical and numerical model. Basic approximate and numerical methods: Methods of linear algebra, interpolation, and quadrature, solution of nonlinear equations. Euler method for solving ordinary differential equations.
Knowlige of fundamentals of numerical mathematics.
Prerequisites
Passing of mathematical lectures of first four semestrs.

Assessment methods and criteria
Written exam

Exam: Written.
Recommended literature
  • Duintjer Tebbens E. J. ,Hnětynková I.,Plešinger M.,Strakoš Z.,Tichý P. Analýza metod pro maticové výpočty: Základní metody. Matfyzpress, 2012.
  • Ueberhuber, Ch. W.:. Numerical Computation 1, 2.. Berlin: Springer-Verlag, 1997.
  • Vitásek, E.:. Numerické metody.. Praha: SNTL, 1987.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester