Nonclassical problems of mathematical physics

Course: Applied mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Nonclassical problems of mathematical physics
Code
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO1. Be able to use of in-depth professional knowledge and practical skills to optimize the design of models of any complexity, to solve specific problems of designing intelligent information systems of different physical nature. PLO10. Be able to build models of physical and production processes, design of storage and data space, knowledge base, using charting techniques and standards for information systems development.
Form of study
Prerequisites and co-requisites
To successfully learn the discipline “Nonclassical problems of mathematical physics” the student should satisfy the following requirements. They have successfully passed the courses Calculus, Functional Analysis, and Equations of Mathematical Physics. They know (a) fundamentals of Calculus, Functional Analysis, and Equations of Mathematical Physics. They can (a) apply fundamentals of Calculus, Functional Analysis, and Equations of Mathematical Physics to solve practical problems. They should be able to (a) seek information in the Internet.
Course content
Block 1. Fundamentals Distributions Rigged Hilbert spaces Sobolev spaces Weak solutions of initial-boundary problems Galerkin method and its analogues Optimal control and system controllability Control work Block 2. Nonclassical problems Weak solvability of pseudoparabolic systems Galerkin methods analogues for pseudoparabolic systems Pulse optimal control of pseudoparabolic systems Weak solvability of pseudohyperbolic systems Galerkin method analogues for pseudohyperbolic systems Pulse optimal control of pseudohyperbolic systems Weak solvability of Sobolebʼs systems Galerkin method analogues for Sobolevʼs systems Pulse optimal control of Sobolevʼs systems Barenblatt–Zheltov–Kochina model Control work
Recommended or required reading and other learning resources/tools
1. Lyashko S.I. Obobschennoe upravlenie lineynyimi sistemami. K.: Nauk. dumka, 1998. 2. Vragov, V.N. Kraevyie zadachi dlya neklassicheskih uravneniy matematicheskoy fiziki. Novosibirsk: NGU, 1983. 3. Vladimirov V.S. Uravneniya matematicheskoy fiziki. M.: Nauka, 1981. 4. Korpusov M.O., Sveshnikov A.G. Nelineynyiy funktsionalnyiy analiz i matematicheskoe modelirovanie v fizike. M.: Krasand, 2011. 5. Sveshnikov A.G, Alshin A.B., Korpusov M.O., Pletner Yu.B. Lineynyie i nelineynyie uravneniya sobolevskogo tipa. M.: Fizmatlit, 2007.
Planned learning activities and teaching methods
Lectures, independent work, recommended literature processing, homework.
Assessment methods and criteria
Intermediate assessment: The maximal number of available points is 60. Test work no. 1: RN 1.1, RN 1.2 – 30/18 points. Test work no. 2: RN 1.1, RN 1.2 – 30/18 points. Final assessment (in the form of final test): The maximal number of available points is 40. The results of study to be assessed are RN 1.1, RN 1.2, RN 2.1, and RN 3.1. The form of final test: writing. The types of assignments are 3 writing assignments (2 theoretical and 1 practical).
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Dmytro Anatoliiovych Klyushin
Computational Mathematics
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

Computational Mathematics
Faculty of Computer Science and Cybernetics