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Course, academic year 2023/2024
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Applied differential equations - NMMA706
Title: Aplikované diferenciální rovnice
Guaranteed by: Department of Mathematical Analysis (32-KMA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2023
Semester: summer
E-Credits: 6
Hours per week, examination: summer s.:2/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Teaching methods: full-time
Guarantor: doc. RNDr. Dalibor Pražák, Ph.D.
Annotation -
Last update: doc. Mgr. Petr Kaplický, Ph.D. (01.06.2017)
Existence, uniqueness, basic properties of solutions to ODE's. Solution methods to selected ODE's. Qualitative analysis. Applications: derivation and analysis of basic models (biology, physics, economy).
Course completion requirements -
Last update: doc. RNDr. Tomáš Bárta, Ph.D. (02.03.2021)

The credit for exercises is awarded for elaborating homework.

The credit from exercises is required to participate at the exam.

The exam consists of a written computational part (test) and oral theoretical part.

Students failing in the test are not allowed to continue with the oral part. Students failing in the oral part must go through both parts (written and oral) in their next attempt.

Literature -
Last update: doc. Mgr. Petr Kaplický, Ph.D. (01.06.2017)

I. I. Vrabie: Differential equations : an introduction to basic concepts, results, and applications. World Scientific, 2004.

D. S. Jones, B. D. Sleeman: Differential equations and mathematical biology, Chapman & Hall, 2003.

J. D. Murray: Mathematical biology I: an introduction, Springer, 2002.

Requirements to the exam -
Last update: doc. RNDr. Tomáš Bárta, Ph.D. (23.05.2019)

Ability to solve problem similar to those solved at the exercises, knowledge of the theory presented in the lecture, understanding. Details at the web page of the lecturer.

Syllabus -
Last update: doc. Mgr. Petr Kaplický, Ph.D. (05.06.2017)

1. Systems of ODE -- basic examples and applications.

2. Existence, uniqueness and further properties of solutions.

3. Systems of linear equations, variation of constants,

matrix exponential.

4. Asymptotic behavior, stability.

Entry requirements -
Last update: doc. RNDr. Dalibor Pražák, Ph.D. (01.05.2018)

Differential and integral calculus in one variable.

Basic linear algebra (matrix theory in particular).

 
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