Course Details
Basics of Calculus of Variations
Academic Year 2025/26
NAB018 course is part of 1 study plan
NPC-SIV Summer Semester 1st year
Course Guarantor
Institute
Language of instruction
Czech
Credits
5 credits
Semester
summer
Forms and criteria of assessment
course-unit credit and examination
Offered to foreign students
Not to offer
Course on BUT site
Lecture
13 weeks, 2 hours/week, elective
Syllabus
- 1. Linear, metric, normed, and unitary spaces. Fixed-point theorems.
- 2. Linear operators, the notion of a functional, special functional spaces
- 3. Differential operators. Initial and boundary problems in differential equations.
- 4. First derivative of a functional, potentials of some boundary problems.
- 5. Second derivative of a functional. Lagrange conditions.
- 6. Convex functionals, strong and weak convergence.
- 7. Classic, minimizing and variational formulation of differential problems
- 8. Primary, dual, and mixed formulation - examples in mechanics of building structures
- 9. Numeric solutions to initial and boundary problems, discretization schemes.
- 10. Numeric solutions to boundary problems. Ritz and Galerkin method.
- 11. Finite-element method, comparison with the method of grids.
- 12. Kačanov method, method of contraction, method of maximal slope.
- 13. Numeric solution of general evolution problems. Full discretization and semi-discretization. Method of straight lines. Rothe method of time discretization.
- 14. An overview of further variational methods: method of boundary elements, method of finite volumes, non-grid approaches. Variational inequalities.
Exercise
13 weeks, 2 hours/week, compulsory
Syllabus
Follows directly particular lectures.
- 1. Linear, metric, normed, and unitary spaces. Fixed-point theorems.
- 2. Linear operators, the notion of a functional, special functional spaces
- 3. Differential operators. Initial and boundary problems in differential equations.
- 4. First derivative of a functional, potentials of some boundary problems.
- 5. Second derivative of a functional. Lagrange conditions.
- 6. Convex functionals, strong and weak convergence.
- 7. Classic, minimizing and variational formulation of differential problems
- 8. Primary, dual, and mixed formulation - examples in mechanics of building structures
- 9. Numeric solutions to initial and boundary problems, discretization schemes.
- 10. Numeric solutions to boundary problems. Ritz and Galerkin method.
- 11. Finite-element method, comparison with the method of grids.
- 12. Kačanov method, method of contraction, method of maximal slope.
- 13. Numeric solution of general evolution problems. Full discretization and semi-discretization. Method of straight lines. Rothe method of time discretization.
- 14. An overview of further variational methods: method of boundary elements, method of finite volumes, non-grid approaches. Variational inequalities.