Course: Variational methods of nonlinear analysis

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Course title Variational methods of nonlinear analysis
Course code KMA/VMNA
Organizational form of instruction Tutorial
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 2
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Valentová Ivana, doc. Ing. Ph.D.
Course content
Week 1-3: variational formulation of nonlinear boundary value problem, comparison with topological methods Week 4-9: global minimum, mountain-pass, saddle point, general minimax, existence of critical point Week 10-13: examples and numerical approach

Learning activities and teaching methods
Task-based study method, Seminar
  • Graduate study programme term essay (40-50) - 40 hours per semester
  • Contact hours - 26 hours per semester
prerequisite
Knowledge
Students should be familiar with the theory of functional analysis to the extent of the courses KMA/ UFA or KMA/FA.
learning outcomes
By the end of the course, a successful student should be able to use basic variational methods and apply theoretical tools to real problems.
teaching methods
Seminar
Task-based study method
assessment methods
Skills demonstration during practicum
Seminar work
Recommended literature
  • Schechter, Martin. An introduction to nonlinear analysis. 1st ed. Cambridge : Cambridge University Press, 2004. ISBN 0-521-84397-9.
  • Struwe, Michael. Variational methods - Applications to nonlinear partial differential equations and Hamiltonian systems. Springer-Verlag Berlin Heidelberg, 2008. ISBN 978-3-540-74012-4.


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