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Lecturer(s)
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Šulc Hynek, doc. Ing. Ph.D.
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Course content
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1. Problems of numerical mathematics, ill-conditioned and well-conditioned problems, stability of algorithms, computational software. 2. Direct methods for solving linear algebraic equations. 3. Iterative methods for solving linear algebraic equations. 4. Methods for solving eigenvalue problems. 5. Approximation of functions. 6. L2 approximation, discrete Fourier transform. 7. Numerical methods for ordinary differential equations - initial value problems. 8. Numerical methods for differential equations - boundary value problems.
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Learning activities and teaching methods
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Lecture, Practicum
- Preparation for comprehensive test (10-40)
- 20 hours per semester
- Undergraduate study programme term essay (20-40)
- 40 hours per semester
- Contact hours
- 52 hours per semester
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| prerequisite |
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| Knowledge |
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| The students must have basic knowledge of mathematical analysis and linear algebra (KMA/M1E and KMA/M2E). |
| learning outcomes |
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| Upon completion of the course a student have a possibility to be able: - formulate problems of numerical mathematics and analyze their solvability; - use these methods to solve real world problems (especially in electrotechnical engineering). |
| teaching methods |
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| Lecture |
| Practicum |
| assessment methods |
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| Test |
| Project |
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Recommended literature
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Míka, Stanislav; Brandner, Marek. Numerické metody I. 1. vyd. Plzeň : Západočeská univerzita, 2000. ISBN 80-7082-619-3.
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Míka, Stanislav; Přikryl, Petr. Numerické metody řešení obyčejných diferenciálních rovnic : okrajové úlohy. 1. vyd. Plzeň : ZČU, 1994. ISBN 80-7082-159-0.
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Míka, Stanislav; Přikryl, Petr. Numerické metody řešení parciálních diferenciálních rovnic. 1. vyd. Plzeň : ZČU, 1995. ISBN 80-7082-204-X.
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Přikryl, Petr; Brandner, Marek. Numerické metody II. 1. vyd. Plzeň : Západočeská univerzita, 2000. ISBN 80-7082-699-1.
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