Czech

Not applicable.

We require knowledge at the level of bachelor's degree, i.e. that students must be able to work with matrices and vectors, handle the calculation of determinants, calculate the product of a matrix and inverse matrix, know the graphs of elementary functions and methods of construction, differentiate and integrate of basic functions, solve basic types of ordinary differential equations of the first order.

Students may be awarded
Up to 40 points for computer exercises for a written test (10 points) and 30 points for individual homework (max. 15 points for the program and the maximum 15 points for presentation and protocol).
Up to 60 points for the written final exam. The test contains both theoretical and numerical tasks that are used to verify the orientation in the problems of numerical methods and their application. This includes tasks such as "adjust to the shape of convergence", without interpolating the end.

Computer exercises are compulsory. Properly excused absence can be replaced by individual homework, which focuses on the issues discussed during the missed exercise.
Specifications of the controlled activities and ways of implementation are provided in annual public notice.
Date of the written test is announced in agreement with the students at least one week in advance. The new term for properly excused students is usually during the credit week.

Exercises are compulsory. Duly excused absences may be made up by arrangement with the teacher. The form and method of substitution is at the sole discretion of the techer. 

Any student who obtains a non-zero number of points for the exercise is admitted to the examination.

To pass the course, a student must score a minimum of 50 points on both the exam and the practicum.

 

The aim of the course is to extend and intesify students' basic knowledge of numerical methods and their applications to solve concrete problems. Therefore, much attention is paid to the derivation of certain procedures and methods, and examples using both numerical methods and also clarify the limitations and circumscribed use of the methods.

After completing the course the student will be able to:
• Work with various matrix and vector norms and make their estimates.
• Solve systems of linear algebraic equations. Decide whether it is possible to solve the system using a given method.
• Find roots of nonlinear and algebraic equations with required accuracy.
• Solve systems of equations.
• Determine the dominant eigenvalue of a matrix.
• Find all eigenvalues. To the suitability of the specified procedure for finding eigenvalues.
• Find the numerical solution of initial value problems for ordinary differential equations and their systems with required accuracy.
• Find the numerical solution of partial differential equations. Work with boundary and internal points system.
• Explain the nature of the finite element method and know how to use it to solve problems on a computer.
• Select the appropriate method for a given type of task and estimate the rate of convergence of certain methods.
• Determine accuracy estimates for certain methods.

Not applicable.

Not applicable.

BAŠTINEC, J.; NOVÁK, M. Moderní numerické metody: sbírka příkladů. Brno: FEKT, VUT v Brně, 2011. (CS)
BAŠTINEC, J., Novák, M.,: Moderní numerické metody.Brno, FEKT VUT, 2014. (CS)

VITÁSEK, E., Numerické metody. SNTL Praha 1987. (CS)