Course: Numerical Methods of Solving Differential Equations

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Course title Numerical Methods of Solving Differential Equations
Course code KMA/PGSM6
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 5
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Machalová Jitka, doc. RNDr. Ph.D., MBA
Course content
Numerical methods of solving differential equations (series expansion, collocation, LSQ). Contemporary theory of single and multi-step methods for ODE, use of software. Boundary value problems solving for ODE - modern methods, software available. Variation methods and the finite element method for elliptic boundary value problems. Methods for time-dependent problems.

Learning activities and teaching methods
unspecified
Learning outcomes
Master the numerical methods of solution of ordinary and partial differential equations.
Application Demonstrate a good orientation in numerical methods for solution of differential equations.
Prerequisites
Master's degree in mathematics.

Assessment methods and criteria
unspecified
Exam: oral. Knowledge of numerical methods for solving ordinary and partial differential equations.
Recommended literature
  • Aktuální odborné články v mezinárodních matematických časopisech.
  • A. Quarteroni, R. Sacco, F. Saleri. (2007). Numerical Mathematics. Second edition. Springer.
  • B. Szabó, I. Babuška. (2011). Introduction to Finite Element Analysis: Formulation, Verification and Validation. John Wiley & Sons, Ltd.
  • Sandip Mazumder. (2016). Numerical Methods for Partial Differential Equations: Finite Difference and Finite Volume Methods. Academic Press 2016.
  • Strang, G. (1986). Introduction To Applied Mathematics. Wellesley-Cambridge Press.
  • U.M. Asher. (2008). Numerical Methods for Evolutionary Differential Equations. SIAM, Philadelphia.


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