Subjects

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Numerical Software 1 - NNUM018

Title:	Numerický software 1
Guaranteed by:	Department of Numerical Mathematics (32-KNM)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2018
Semester:	winter
E-Credits:	6
Hours per week, examination:	winter s.:2/2, C+Ex [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	cancelled
Language:	Czech
Teaching methods:	full-time
Additional information:	http://www.karlin.mff.cuni.cz/~dolejsi/Vyuka/index.htm

Guarantor:	prof. RNDr. Vít Dolejší, Ph.D., DSc.
Classification:	Mathematics > Numerical Analysis
Interchangeability :	NMNV403
Is co-requisite for:	NNUM019
Is incompatible with:	NMNV403
Is interchangeable with:	NMNV403

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Annotation -

The creation, utilization and testing of professional numerical software. Basic knowledge of numerical methods is required. Freely distributed numerical software will be used for exercises.

Last update: DOLEJSI/MFF.CUNI.CZ (15.04.2008)

Aim of the course -

The course gives students a knowledge of existing numerical software, its creation, utilization, testing and assessment of obtained results.

Last update: T_KNM (17.05.2008)

Literature -

Forsythe G.E.,Malcolm M.A.,Moler C.B.: Computer Methods for Mathematical Computations. Englewood Cliffs, NJ, Prentice-Hall 1977

Kahaner D., Moler C., Nash S.: Numerical Methods and Software. Englewood Cliffs,NJ, Prentice-Hall 1989

Press W.H. et al: Numerical Recipes.The Art of Scientific Computing. Cambridge, Cambridge University Press 1988

A. Quarteroni, R. Sacco, F. Saleri: Numerical mathematics, Springer-Verlag, Texts in Applied Mathematics 37, 2000.

V. Dolejší: Finite element methods: Implementations, učební text MFF UK, 2010, elektronická verze, odkaz: http://www.karlin.mff.cuni.cz/~dolejsi/Vyuka/FEM-implement.pdf

Last update: Dolejší Vít, prof. RNDr., Ph.D., DSc. (09.09.2013)

Teaching methods -

Lectures in a lecture hall and independent practical work.

Last update: T_KNM (17.05.2008)

Requirements to the exam -

Semester project and examination according to the syllabus.

Last update: T_KNM (17.05.2008)

Syllabus -

Base of computer arithmetics.

Principles of adaptive methods.

Automatic numerical integration, theory and practice.

Base and principles of numerical software for partial differential equations, finite element methods.

Practice: creation of own software for a elementary tasks, use of free software for numerical integration.

Last update: Dolejší Vít, prof. RNDr., Ph.D., DSc. (09.09.2013)

Entry requirements -

basic knowledge of numerical methods

Last update: T_KNM (17.05.2008)