Course: Advanced Numerical Methods 1

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Course title Advanced Numerical Methods 1
Course code KMA/SNM1
Organizational form of instruction Lecture
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Lysák Jaroslav, Ing. Ph.D.
  • Zouvalová Katarína, Ing. Ph.D.
Course content
Finite difference method, finite volume method and finite element method for solving boundary problems for ODEs and elliptic PDEs. Direct and iterative methods for discretized problems.

Learning activities and teaching methods
Lecture supplemented with a discussion, Students' portfolio, Task-based study method, Individual study, Textual studies, Lecture
  • Contact hours - 39 hours per semester
  • Team project (50/number of students) - 48 hours per semester
  • Preparation for an examination (30-60) - 40 hours per semester
prerequisite
Knowledge
describe linear algebra problems (systems of equations, eigenvalues), approximation of a function (interpolation, least squares method), approximation of a derivative and a definite integral, and an initial value problem for an ordinary 1st order differential equation
describe and explain basic numerical methods for solving nonlinear equations
Skills
používat počítačový software MATLAB nebo podobný a implementovat základní algoritmy numerických metod
formulate and solve basic problems of numerical mathematics using numerical methods, i.e. solve linear and nonlinear equations and their systems, determine eigenvalues, approximate functions in terms of interpolation and L2-approximation, approximate value of derivative and definite integral, solve initial value problem for 1st order ordinary differential equation
Competences
N/A
N/A
learning outcomes
Knowledge
describe and explain the principle of numerical methods for solving initial and boundary value problems for ordinary and elliptic partial differential equations, namely methods of converting the boundary value problem to the initial value problem, difference methods for boundary value problems, Galerkin type methods and finite element methods
Skills
use numerical methods to solve initial and boundary value problems for ordinary differential equations
analyze the obtained numerical results
discuss convergence of methods (firing method and boundary condition transfer method, finite difference method and integral identity method, Galerkin and Ritz method, finite element method)
Competences
N/A
N/A
teaching methods
Knowledge
Lecture
Lecture supplemented with a discussion
Textual studies
Skills
Task-based study method
Students' portfolio
Individual study
Competences
Task-based study method
assessment methods
Knowledge
Oral exam
Individual presentation at a seminar
Seminar work
Skills
Skills demonstration during practicum
Individual presentation at a seminar
Competences
Individual presentation at a seminar
Oral exam
Recommended literature
  • LEVEQUE, Randall J. Finite difference methods for ordinary and partial differential equations: steady-state and time-dependent problems. Philadelphia, 2007. ISBN 978-0-898716-29-0.
  • MÍKA, Stanislav a PŘIKRYL, Petr. Numerické metody řešení eliptických úloh pro PDR. Plzeň: Západočeská univerzita, 2007.
  • MÍKA, Stanislav a PŘIKRYL, Petr. Numerické metody řešení okrajových úloh pro ODR. Plzeň: Západočeská univerzita, 2007.
  • Reddy, J. N.; Anand, N. K.; Roy, P. Finite element and finite volume methods for heat transfer and fluid dynamics. 2023. ISBN 978-1-00-927548-4.
  • STRIKWERDA, John C. Finite difference schemes and partial differential equations. 2nd ed.. Society for Industrial and Applied Mathematics. Philadelphia, 2007. ISBN 978-0-898716-39-9.
  • Trangenstein, J. A. Numerical solution of elliptic and parabolic partial differential equations. Cambridge : Cambridge University Press, 2012. ISBN 978-0-521-87726-8.


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