Subjects

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Numerical Analysis and Computer Graphics - D445008

Title:	Numerická analýza a počítačová grafika
Guaranteed by:	Department of Computing and Control Engineering (445)
Faculty:	Faculty of Chemical Engineering
Actual:	from 2012 to 2018
Semester:	summer
Points:	summer s.:0
E-Credits:	summer s.:0
Examination process:	summer s.:
Hours per week, examination:	summer s.:0/0, other [HT]
Capacity:	unknown / unknown (unknown)
Min. number of students:	unlimited
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Teaching methods:	full-time
Level:
Note:	course is intended for doctoral students only can be fulfilled in the future

Guarantor:	Procházka Aleš prof. Ing. CSc.

Examination dates Schedule

Annotation -

The subject presents computational and visualization tools of the MATLAB / SIMULINK environment and its use for numeric and symbolic solution of selected computational problems. A special attention is paid to problems of data analysis, solution of linear algebraic equations, linear and nonlinear approximation, solution of nonlinear equations, to methods of numeric interpolation, derivation and integration and to the solution of difference equations. Further topis will include fundamentals of modelling and data visualization. Selected case studies will be devoted to applications of computational methods for processing of engineering and biomedical signals and images.

Last update: Procházka Aleš (05.01.2018)

Literature -

Z: F. Dušek: Matlab a Simulink, úvod do používání, FChT UPCE, Pardubice 2001

Z: J. Novák, I. Pultarová, P. Novák: Základy informatiky - Počítačové modelování v Matlabu, ČVUT Praha 2005, Fakulta stavební

D: R.L. Burden: Numerical Analysis, Brooks / Cole, 2001

D: S.C. Chapra: Applied Numerical Metods with Matlab for Engineers and Scientists, McGraw Hill, 2008

D: WIKIBOOK: MATLAB Programming, https://en.wikibooks.org/wiki/MATLAB_Programming, 2018

Last update: Procházka Aleš (05.01.2018)

Syllabus -

1. Computational and visualization system MATLAB, algorithmic and programming tools

2. Functions, object graphics, data structures, symbolic mathematics in MATLAB

3. Block oriented computational tools, modelling in the SIMULINK environment

4. Numeric a symbolic methods of linear algebra

5. Linear and nonlinear approximation of functions, the least square method, gradient methods

6. Solution of nonlinear equations and their systems

7. Numeric and symbolic methods of interpolation, derivation and integration

8. Solution of differencial equations

9. The boundary method and the shooting method for solution of differential equations

10. Computational intelligence in data analysis

11. The use of computational methods for processing of engineering and biomedical signals

12: CASE STUDY 1: Aproximation and statistical analysis in data processing

13: CASE STUDY 2: Solution of nonlinear equations

14: CASE STUDY 3: Modeling in the block oriented SIMULINK environment

Last update: Procházka Aleš (05.01.2018)